Scientific articles describing applications that use/implement/expand
principles of ViBe
Last update: January 16, 2019
1. Detection of micro air vehicles
N. Dorudian, S. Lauria, and S. Swift. Nonparametric background modelling and seg-
mentation to detect micro air vehicles (MAV) using RGB-D sensor. International Jour-
nal of Micro Air Vehicles, online first:–, 2018. URL: https://bura.brunel.ac.uk/
bitstream/2438/17092/1/Fulltext.pdf
2. Infrared target detection
Y. Wu, Y. Wang, and P. Liu and. Infrared LSS-target detection via adaptive TCAIE-
LGM smoothing and pixel-based background subtraction. Photonic Sensors, online
first:1–10, December 2018. URL: http://dx.doi.org/10.1007/s13320-018-0523-8
3. Water environment monitoring
Y. Wang, X. Zhang, J. Chen, Z. Cheng, and D. Wang. Camera sensor-based contamina-
tion detection for water environment monitoring. Environmental Science and Pollution
Research, online first:–, 2019. URL: http://dx.doi.org/10.1007/s11356-018-3645-z
4. Trichomonas Detection X. Du, L. Liu, X. Wang, J. Zhang, G. Ni, R. Hao, J. Liu, and
Y. Liu. Trichomonas detection in leucorrhea based on VIBE method. Computational
and Mathematical Methods in Medicine, 2019:1–10, January 2019. URL: http://dx.
doi.org/10.1155/2019/5856970
5. Detection of smoky vehicles
H. Tao and X. Lu. Smoky vehicle detection based on multi-feature fusion and ensemble
neural networks. Multimedia Tools and Applications, 77(24):32153–32177, December
2018. URL: http://doi.org/10.1007/s11042-018-6248-2
6. Interactive multiple video fusion in 3D environments
Y. Zhou, M. Cao, J. You, M. Meng, Y. Wang, and Z. Zhou. MR video fusion: Interactive
3d modeling and stitching on wide-baseline videos. In ACM Symposium on Virtual Re-
ality Software and Technology (VRST), pages 1–11, Tokyo, Japan, November-December
2018. URL: http://doi.org/10.1145/3281505.3281513
7. Person re-identification
A. Chen, M. Biglari-Abhari, and K. Wang. Fast one-shot learning for identity classifi-
cation in person re-identification and tracking. In International Conference on Control,
Automation, Robotics and Vision (ICARCV), pages 1197–1203, Singapore, November
2018. URL: http://dx.doi.org/10.1109/ICARCV.2018.8581291
8. Detection of flying birds
T. Wu, X. Luo, and Q. Xu. A new skeleton based flying bird detection method for low-
altitude air traffic management. Chinese Journal of Aeronautics, 11(11):2149–2164,
November 2018. URL: http://doi.org/10.1016/j.cja.2018.01.018
1
9. Surveillance of goats
D. Wang, J. Tang, W. Zhu, H. Li, J. Xin, and D. He. Dairy goat detection based
on Faster R-CNN from surveillance video. Computers and Electronics in Agriculture,
154:443–449, November 2018. URL: http://doi.org/10.1016/j.compag.2018.09.
030
10. Person re-identification
M. Saghafi, A. Hussain, M. Saad, M. Zulkifley, N. Tahir, and M. Ibrahim. Pose and
illumination invariance of attribute detectors in person re-identification. International
Journa l of Engineering & Technology (IJET), 7(4.11):174–178, 2018. URL: http:
//dx.doi.org/10.14419/ijet.v7i4.11.20796
11. Detection of smoky vehicles
H. Tao and X. Lu. Smoky vehicle detection based on range filtering on three orthogonal
planes and motion orientation histogram. IEEE Access, 6:57180–57190, October 2018.
URL: http://doi.org/10.1109/ACCESS.2018.2873757
12. Detection of wildfires
J. Yuan, L. Wang, P. Wu, C. Gao, and L. Sun. Detection of wildfires along transmission
lines using deep time and space features. Pattern Recognition and Image Analysis,
28(4):805–812, October 2018. URL: http://doi.org/10.1134/S1054661818040168
13. Detection of smoky vehicles
H. tao and X. Lu. Smoky vehicle detection based on range filtering on three orthogonal
planes and motion orientation histogram. IEEE Access, 6:57180–57190, October 2018.
URL: http://dx.doi.org/10.1109/ACCESS.2018.2873757
14. Detection of vehicles by UAVs
H. Zhang, C. Meng, P. guo, X. Ding, and Z. Li. Vehicle detection in UAV aerial video.
In Workshop on Planning, Perception and Navigation for Intelligent Vehicles (PPNIV),
pages 1–6, Madrid, Spain, October 2018. URL: https://project.inria.fr/ppniv18/
files/2018/10/paper1.pdf
15. Detection of targets for unmanned aerial vehicle landing
Z. Li, C. Meng, F. Zhou, X. Ding, X. Wang, H. Zhang, P. Guo, and X. Meng. Fast
vision-based autonomous detection of moving cooperative target for unmanned aerial
vehicle landing. Journal of Field Robotics, 2018:1–15, October 2018. URL: http:
//doi.org/https://doi.org/10.1002/rob.21815
16. Vehicle detection
H. Tao and X. Lu. Smoky vehicle detection based on multi-scale block Tamura features.
Signal, Image and Video Processing, 12(6):1061–1068, September 2018. URL: http:
//doi.org/10.1007/s11760-018-1254-4
17. Fish tail beat frequency estimation
Y. Yildirym, B. Toreyin, S. Kucukali, B. Verep, D. Turan, and A. Alp. Image analysis
based fish tail beat frequency estimation for fishway efficiency. In European Signal
Processing Conference (EUSIPCO), pages 1790–1794, Roma, Italy, September 2018.
URL: http://dx.doi.org/10.23919/EUSIPCO.2018.8553199
2
18. Surveillance of pumping units
T. Yu, J. Yang, and W. Lu. Background modeling with extracted dynamic pixels for
pumping unit surveillance. Mathematical Problems in Engineering, 2018:1–11, Septem-
ber 2018. URL: http://doi.org/10.1155/2018/8938673
19. Vehicle counting
X. Xiang, M. Zhai, N. Lv, and A. El Saddik. Vehicle counting based on vehicle detection
and tracking from aerial videos. Sensors, 18(8):1–17, August 2018. URL: http://doi.
org/10.3390/s18082560
20. Fish detection from low visibility underwater videos
V. Shevchenko, T. Eerola, and A. Kaarna. Fish detection from low visibility underwater
videos. In IEEE International Conference on Pattern Recognition (ICPR), pages 1971–
1976, Beijing, China, August 2018. URL: http://dx.doi.org/10.1109/ICPR.2018.
8546183
21. Fall detection
W. Yan, J. Xie, P. Li, and T. Liu. Robust recognition algorithm for fall down behavior.
In Chinese Conference on Biometric Recognition, volume 10996 of Lecture Notes in
Computer Science, pages 662–668. Springer, 2018. URL: http://doi.org/10.1007/
978-3-319-97909-0_70
22. Detection of smoky vehicles
Y. Cao, C. Lu, X. Lu, and X. Xia. A spatial pyramid pooling convolutional neural
network for smoky vehicle detection. In Chinese Control Conference (CCC), pages
9170–9175, Wuhan, China, July 2018. URL: http://dx.doi.org/10.23919/ChiCC.
2018.8483521
23. Rat cyborg automated navigation
Z. Zhang, Y. Yang, Z. Wu, and Q. Ma. A posture recognition system for rat cyborg
automated navigation. Chinese Journal of Electronics, 27(4):687–693, July 2018. URL:
http://doi.org/10.1049/cje.2018.04.003
24. Detection of abandoned objects
D. Shyam, A. Kot, and C. Athalye. Abandoned object detection using pixel-based finite
state machine and single shot multibox detector. In IEEE International Conference on
Multimedia and Expo (ICME), pages 1–6, San Diego, California, USA, July 2018. URL:
http://dx.doi.org/10.1109/ICME.2018.8486464
25. Detection of foreign substances detection algorithm for liquid in transparent glass bottles
R. Zhao, L. Liu, X. Chen, J. Song, and S. Jiang. Foreign substances detection algorithm
for liquid in transparent glass bottles based on the combination of guided filter and
visual background extractor. Journal of Electronic Imaging, 27(4), July 2018. URL:
http://doi.org/10.1117/1.JEI.27.4.043015
26. Crisis management
S. Hetu, S. Gupta, V.-A. Vu, and G. Tan. A simulation framework for crisis management:
Design and use. Simulation Modelling Practice and Theory, 85:15–32, June 2018. URL:
http://doi.org/10.1016/j.simpat.2018.03.001
3
27. Hyper-spectral video restoration
C. m. Tan, T. f. Xu, X. Ma, Y. h. Zhang, X. Wang, and G. Yan. Graph-spectral hyper-
spectral video restoration based on compressive sensing. Chinese Optics, 11(6):949–957,
2018. URL: http://dx.doi.org/10.3788/CO.20181106.0949
28. Ship detection
S. Chao, C. Enqing, and Q. Lin. Ship detection from infrared video. Opto-Electronic
Engineering, 45(6):170748:1–6, June 2018. URL: http://dx.doi.org/10.12086/oee.
2018.170748
29. Forest fire smoke detection
C. Lu, Y. Cao, X. Lu, M. Cai, and X. Feng. Moving target detection algorithm for forest
fire smoke recognition with improved ViBe. In International Conference on Information
System and Artificial Intelligence (ISAI), volume 1069, pages 1–7, Suzhou, China, June
2018. URL: http://doi.org/10.1088/1742-6596/1069/1/012156
30. Action recognition
X. Ji, Z. Jin, J. Cao, and Y. Wang. Two-person interaction action recognition based on
multi-source information fusion algorithm. In International Conference on Information
Science and Technology (ICIST), pages 466–471, Cordoba, Granada, and Seville, Spain,
June-July 2018. URL: http://doi.org/10.1109/ICIST.2018.8426081
31. Real-time key frame extraction
T. Shen, Z.-L. Sun, F.-Q. Han, and Y.-M. Wang. Real-time key frame extraction in
a low lighting condition. In International Symposium on Neural Networks, volume
10878 of Lecture Notes in Computer Science, pages 601–610. Springer, 2018. URL:
https://doi.org/10.1007/978-3-319-92537-0_69
32. Vehicle detection
H. Tao and X. Lu. Smoky vehicle detection in surveillance video based on gray level co-
occurrence matrix. In International Conference on Digital Image Processing (ICDIP),
volume 10806 of Proceedings of SPIE. SPIE, May 2018. URL: http://doi.org/10.
1117/12.2502873
33. Vehicle detection
Q. Zhang, J. Zhao, J. Zhai, J. Zhang, and H. Cui. Smoke detection in video using
dissipation function and support vector machine. In International Conference on Digital
Image Processing (ICDIP), volume 10806 of Proceedings of SPIE. SPIE, May 2018.
URL: http://doi.org/10.1117/12.2502874
34. Building replates
G. Chen, P. Sander, and D. Nehab. The replate. Proceedings of the ACM on Computer
Graphics and Interactive Techniques, 1(1):1–14, May 2018. URL: http://dx.doi.org/
10.1145/3203205
35. Detection of protective equipment
O. Hatipoglu and A. Hocaoglu. Detection of personal protective equipment. In Signal
Processing and Communications Applications Conference (SIU), pages 1–4, May 2018.
URL: http://doi.org/10.1109/SIU.2018.8404536
4
36. Real-time fish animation generation
X. Meng, J. Pan, H. Qin, and P. Ge. Real-time fish animation generation by monocular
camera. Computers & Graphics, 71:55–65, April 2018. URL: http://doi.org/10.
1016/j.cag.2017.12.004
37. Transmission electron microscopy testing
K. Yano, S. Thomas, M. Swenson, Y. Lu, and J. Wharry. TEM in situ cube-corner in-
dentation analysis using ViBe motion detection algorithm. Journal of Nuclear Materials,
502:201–212, April 2018. URL: http://doi.org/10.1016/j.jnucmat.2018.02.003
38. Video summarization
P. Mishra and S. Sharma. Automatic variable length summarized video using motion of
object. In International Conference on Current Trends towards Converging Technologies
(ICCTCT), pages 1–6, Coimbatore, India, March 2018. URL: http://dx.doi.org/10.
1109/ICCTCT.2018.8550966
39. Automatic helmet wearing detection
K. Li, X. Zhao, J. Bian, and M. Tan. Automatic safety helmet wearing detection. CoRR,
abs/1802.00264, February 2018. URL: https://arxiv.org/abs/1802.00264
40. Anti-UAVs Surveillance System
Z. Li, T. Yang, J. Li, Z. Zhang, R. Liu, and B. Xie. Anti-UAVs surveillance system
based on ground random fisheye camera array. In International Conference on Image
and Graphics Processing (ICIGP), pages 138–142, Hong Kong, February 2018. URL:
http://doi.org/10.1145/3191442.3191446
41. Fish species recognition
X. sun, J. Shi, L. Liu, J. Dong, C. Plant, X. Wang, and H. Zhou. Transferring deep
knowledge for object recognition in low-quality underwater videos. Neurocomputing,
275:897–908, January 2018. URL: http://doi.org/10.1016/j.neucom.2017.09.044
42. Object tracking at crossroads
C.-H. Liu, L. Zhang, and H. Huang. Visualization of cross-view multi-object tracking for
surveillance videos in crossroad. Chinese Journal of Computers, 41(1):221–235, January
2018. URL: http://doi.org/10.11897/SP.J.1016.2018.00221
43. Detection of pollutants and toxicants
D.-P. Hader and G. Erzinger. Daphniatox. In Bioassays, pages 221–240. Elsevier, 2018.
URL: http://doi.org/10.1016/B978-0-12-811861-0.00011-5
44. Tracking of vehicles
W. Min, M. Fan, X. Guo, and Q. Han. A new approach to track multiple vehicles
with the combination of robust detection and two classifiers. IEEE Transactions on
Intelligent Transportation Systems, 19(1):174–186, January 2018. URL: http://doi.
org/10.1109/TITS.2017.2756989
45. Fish species recognition
X. sun, J. Shi, L. Liu, J. Dong, C. Plant, X. Wang, and H. Zhou. Transferring deep
knowledge for object recognition in low-quality underwater videos. Neurocomputing,
275:897–908, January 2018. URL: http://doi.org/10.1016/j.neucom.2017.09.044
5
46. Estimation of the distance to an airbone object
D. Mikluc, M. Andric, S. Mitrovic, and B. Bondzulic. Improved method for passive
ranging based on surface estimation of an airborne object using an infrared image sensor.
Optica Applicata, XLVII(3):383–394, 2017. URL: http://doi.org/10.5277/oa170305
47. Pipeline for indoor person tracking
A. Chen, J. Fan, M. Biglari-Abhari, and K. Wang. A computationally efficient pipeline
for camera-based indoor person tracking. In International Conference on Image and
Vision Computing New Zealand (IVCNZ), pages 1–6, Christchurch, New Zealand, De-
cember 2017. URL: http://doi.org/10.1109/IVCNZ.2017.8402479
48. Smoke detection
Q. Zhang, F. Liu, X. Li, and B. Li. Dissipation function and ViBe based smoke de-
tection in video. In International Conference on Multimedia and Image Processing
(ICMIP), pages 325–329, Wuhan, China, December 2017. URL: http://doi.org/10.
1109/ICMIP.2017.62
49. Online multiple pedestrian tracking
Z. Wang, S. Yoon, and D. Park. Online adaptive multiple pedestrian tracking in monoc-
ular surveillance video. Neural Computing and Applications, 28(1):127–141, December
2017. URL: http://doi.org/10.1007/s00521-016-2319-3
50. Detection of moving vehicles from high definition satellite videos
J. Zhang, X. Jia, and J. Hu. Motion flow clustering for moving vehicle detection from
satellite high definition video. In Digital Image Computing: Techniques and Applications,
pages 1–7, Sydney, Australia, November-December 2017. URL: http://doi.org/10.
1109/DICTA.2017.8227465
51. Detection of smoke
B. Li, Q. Zhang, and C. Shi. Dissipation function and adaptive gradient reconstruction
based smoke detection in video. In SPIE LIDAR Imaging Detection and Target Recogni-
tion, Changchun, China, November 2017. URL: http://doi.org/10.1117/12.2295197
52. Intrusion detection
C. Yan andd C. Wang, J. Du, H. Fang, Y. Wang, X. Xiang, and X. Guo. Intrusion
detection for engineering vehicles under the transmission line based on deep learning. In
IEEE International Conference on Software Engineering and Service Science (ICSESS),
pages 46–49, Beijing, China, November 2017. URL: http://doi.org/10.1109/ICSESS.
2017.8342861
53. Detection of vehicles
S. Datondji. Wide-baseline Omnidirectional Stereovision for Intersection Monitoring.
PhD thesis, Normandie Université, France, November 2017. URL: https://tel.archives-ouvertes.
fr/tel-01730811/document
54. Estimation of the walk direction of pedestrians
R. Raman, P. Kuman, S. Bakshi, and B. Majhi. Kinesiology-inspired estimation of
pedestrian walk direction for smart surveillance. Future Generation Computer Systems,
online first:–, 2017. URL: http://doi.org/10.1016/j.future.2017.10.033
6
55. Detection of fish trajectories
C. Tian, Z. Huang, B. Xiong, J. Zhan, X. Shi, and C. Lin. Fish swimming 3D tra-
jectory reconstruction based on multi-view geometry. Journal Of Fisheries Of China,
41(10):1631–1637, 2017. URL: JournalofComputerApplications
56. Vehicle detection
L. Herle and P. Sharma. Vehicle detection and identification in an unconstrained en-
vironment. In Proceeding International conference on Recent Innovations is Signal
Processing and Embedded Systems, pages 66–69, Bhopal, India, October 2017. URL:
http://doi.org/10.1109/RISE.2017.8378126
57. Gas leak detection
X. Zeng and L. Huang. Gas leak detection in infrared video with background modeling.
In Remote Sensing Image Processing, Geographic Information Systems, and Other Ap-
plications, volume 10611 of Proceedings of SPIE, pages 1–8. SPIE, October 2017. URL:
https://doi.org/10.1117/12.2283429
58. Gamifying object segmentation
S. Palazzo, C. Spampinato, and D. Giordano. Gamifying video object segmentation.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(10):1942–1958,
October 2017. URL: http://doi.org/10.1109/TPAMI.2016.2610973
59. Crowdedness measuring by video
Y. Kim, S. Park, and H. Kim. Crowdedness measuring system considering view angle
of CCTV camera. In International Conference on Information and Communication
Technology Convergence (ICTC), pages 1149–1152, Jeju Island, South Korea, October
2017. URL: http://doi.org/10.1109/ICTC.2017.8190882
60. Identification of vehicles
Y. Liu, D. Xia, Q. Qiu, and D. Cai. Research on visual background extractor to identify
the vehicles based on edge similarity. International Journal of Wireless and Mobile
Computing, 13(1):8–14, 2017. URL: http://doi.org/10.1504/IJWMC.2017.087357
61. Fire and smoke detection
X. Wu, X. Lu, and H. Leung. An adaptive threshold deep learning method for fire and
smoke detection. In IEEE International Conference on Systems, Man, and Cybernetics
(SMC), pages 1954–1959, Banff, Canada, October 2017. URL: http://doi.org/10.
1109/SMC.2017.8122904
62. Vehicle detection
S. Peng. A vehicle detection algorithm based on improved ViBe and cascade classi-
fier. Modern Computer, 8:60–65, 2017. URL: http://caod.oriprobe.com/articles/
51065014/A_Vehicle_Detection_Algorithm_Based_on_Improved_ViBe_and_Cascade_
Class.htm
63. Crowd behavior understanding
L. Lu, J. He, Z. Xu, Y. Xu, C. Zhang, J. Wang, and J. Adu. Crowd behavior un-
derstanding through SIOF feature analysis. In IEEE International Conference on
Automation & Computing, Huddersfield, United Kingdom, September 2017. URL:
http://doi.org/10.23919/IConAC.2017.8082086
7
64. Human motion analysis
V. Golodov, A. Zavei-Boroda, S. Ivanov, and K. Nikolskaya. Development of a deep
learning neural network for human movements analysis. In Russia and Pacific Con-
ference on Computer Technology and Applications (RPC), pages 72–74, Vladivostok,
Russia, September 2017. URL: http://doi.org/10.1109/RPC.2017.8168071
65. Population density estimation
S. Liu, H. Lin, Y. Wang, H. Zhang, and J. Guo. Design of intensive population de-
tection and multi-exit evacuation algorithm based on open environment. In Interna-
tional Conference on Intelligent Human-Machine Systems and Cybernetics, pages 21–24,
Hangzhou, China, August 2017. URL: http://doi.org/10.1109/IHMSC.2017.120
66. Fall detection
H. Liu, D. Liu, X. sun, F. Wu, and W. Zeng. On-line fall detection via a boosted
cascade of hybrid features. In IEEE International Conference on Multimedia and Expo
Workshops (ICMEW), pages 249–254, Hong Kong, China, July 2017. URL: http:
//doi.org/10.1109/ICMEW.2017.8026316
67. Video compression
J. Zheng, T. Sun, X. Jiang, and P. He. Double H.264 compression detection scheme
based on prediction residual of background regions. In Intelligent Computing Theories
and Application, volume 10361 of Lecture Notes in Computer Science, pages 471–482.
Springer, 2017. URL: https://doi.org/10.1007/978-3-319-63309-1_43
68. Anomaly detection based on the pedestrian behavior
M. Shen, X. Jiang, and T. Sun. Anomaly detection by analyzing the pedestrian behavior
and the dynamic changes of behavior. In Intelligent Computing Theories and Applica-
tion, volume 10361 of Lecture Notes in Computer Science, pages 211–222. Springer,
2017. URL: http://doi.org/10.1007/978-3-319-63309-1_20
69. Video synopsis
K. Hui, K. Cheng, and Y. Zhang. The video synopsis based on the enhanced ViBe
algorithm. Journal of Shandong University (Engineering Science), 47(3):43–48, June
2017. URL: http://doi.org/10.6040/j.issn.1672-3961.0.2016.306
70. Fish detection
V. Shevchenko. Fish detection for species recognition. Master’s thesis, Lappeenranta
University of Technology, 2017
71. Human interaction recognition
X. Ji, C. Wang, and Z. Ju. A new framework of human interaction recognition based
on multiple stage probability fusion. Applied Sciences, 7(6):1–16, June 2017. URL:
http://doi.org/10.3390/app7060567
72. Real-time vehicle tracking
Y. Jin and J. Eriksson. Fully automatic, real-time vehicle tracking for surveillance
video. In Conference on Computer and Robot Vision (CRV), pages 147–154, Edmonton,
Alberta, May 2017. URL: http://doi.org/10.1109/CRV.2017.43
8
73. Camera self-calibration
G. Fuhr and C. Jung. Camera self-calibration based on non-linear optimization and ap-
plications in surveillance systems. IEEE Transactions on Circuits and Systems for Video
Technology, 27(5):1132–1142, May 2017. URL: http://doi.org/10.1109/TCSVT.2015.
2511812
74. Fast pedestrian detection
G. Shu, Y. Ouyang, and B. Su. Fast pedestrian detection method for real-time analysis
of surveillance video. Application Research of Computers, 34(4):1257–1260, April 2017.
URL: http://doi.org/10.3969/j.issn.1001-3695.2017.04.068
75. Human Detection for outdoor video surveillance
H.-K. Chen, X.-G. Zhao, S.-Y. Sun, and M. Tan. PLS-CCA Heterogeneous features
fusion-based low-resolution human detection method for outdoor video surveillance.
International Journal of Automation and Computing, 14(2):136–146, April 2017. URL:
http://doi.org/10.1007/s11633-016-1029-8
76. Traffic analysis
W. d. Min, X. g. Guo, and Q. Han. An improved ViBe algorithm and its application in
traffic video processing. Optics and Precision Engineering, 25(3):806–811, March 2017.
URL: http://doi.org/10.3788/OPE.20172503.0806
77. Cloud-based moving object detection
R. Li anjd X. Pie, P. Wang, and C. Jin. Cloud-based moving object detection for
mobile devices. In Conference on Innovations in Clouds, Internet and Networks (ICIN),
pages 100–102, Paris, France, March 2017. URL: http://doi.org/10.1109/ICIN.
2017.7899396
78. Human action recognition
K. Xu, X. Jiang, and T. Sun. Two-stream dictionary learning architecture for ac-
tion recognition. IEEE Transactions on Circuits and Systems for Video Technology,
27(3):567–576, March 2017. URL: http://doi.org/10.1109/TCSVT.2017.2665359
79. Detection of vehicles in tunnels
Z. Qiming and M. ChengQian. A vehicle detection method in tunnel video based on
ViBe algorithm. In IEEE Advanced Information Technology, Electronic and Automation
Control Conference (IAEAC), pages 1545–1548, Chongqing, China, March 2017. URL:
http://doi.org/10.1109/IAEAC.2017.8054272
80. Analysis of satellite videos
A. Xu, J. Wu, G. Zhang, S. Pan, T. Wang, Y. Jang, and X. Shen. Motion detection
in satellite video. Journal of Remote Sensing & GIS, 6(2):1–9, March 2017. URL:
http://doi.org/10.4172/2469-4134.1000194
81. Detection of vehicles
C. Pan, Z. Zhu, L. Jiang, M. Wang, and X. Lu. Adaptive ViBe background model for
vehicle detection. In IEEE Advanced Information Technology, Electronic and Automa-
tion Control Conference (IAEAC), pages 1301–1305, Chongqing, China, March 2017.
URL: http://doi.org/10.1109/IAEAC.2017.8054224
9
82. Video surveillance synopsis
Y. He, C. Gao, N. Sang, Z. Qu, and J. Han. Graph coloring based surveillance video
synopsis. Neurocomputing, 225:64–79, February 2017. URL: http://doi.org/10.1016/
j.neucom.2016.11.011
83. Intelligent monitoring
J. Xia, Z. Liu, and G. Han. System of intelligent monitoring and motion detection based
on the Linux platform. Electronic Measurement Technology, 40(3):173–176,191, 2017.
URL: http://caod.oriprobe.com/articles/50921032/System_of_intelligentmonitoring_
and_motion_detection_basedonthe_Linux_.htm
84. Generation of video tubes (synopsis)
Y. He, Z. Qu, C. Gao, and N. Sang. Fast online video synopsis based on potential
collision graph. IEEE Signal Processing Letters, 24(1):22–26, January 2017. URL:
http://doi.org/10.1109/LSP.2016.2633374
85. Detection of fishes
C. Tian and Z. Huang. A real-time trajectory tracking algorithm of fishes. Informa-
tion & Communications, 1:47–50, January 2017. URL: http://caod.oriprobe.com/
articles/50585400/A_Real_time_Trajectory_Tracking_Algorithm_of_Fish.htm
86. Remote real-time surveillance security system for intruder detection (ARM implemen-
tation)
J. Landa, C. Jun, and M. Jun. Implementation of a remote real-time surveillance secu-
rity system for intruder detection. In International Conference on Measuring Technology
and Mechatronics Automation (ICMTMA), pages 102–105, Changsha, Hunan, China,
January 2017. URL: http://doi.org/10.1109/ICMTMA.2017.0032
87. Videosurveillance
S. Liu, G. Wang, J. Li, X. Li, and M. Fang. Embedded video abstraction and design of
intelligent video surveillance system. Journal of Changchun University of Science and
Technology, 40(1):119–122,126, 2017. URL: http://caod.oriprobe.com/articles/
50791956/Embedded_Video_Abstraction_and_Design_of_Intelligent_Video_Surveillanc.
htm
88. Video-based traffic monitoring
D. Del Carmen and R. Cajote. Moving shadow detection and removal for video-based
traffic monitoring. In Asia-Pacific Signal and Information Processing Association An-
nual Summit and Conference (APSIPA), pages 1–7, Jeju, Korea, December 2016. URL:
http://doi.org/10.1109/APSIPA.2016.7820722
89. Detection of abandoned objects
H. Ma, T. Zhao, J. Li, and W. Qian. Abandoned object detection based on tachograph
videos. In Internationl Computer Symposium (ICS), pages 279–284, Chiayi, Taiwan,
December 2016. URL: http://doi.org/10.1109/ICS.2016.0063
90. Fast detection of micro-organisms
F. Zhou, Z. Lu, J. Liu, Y. Xia, and X. Wei. Low-cost prioritization of microorganism
image data in wireless visual sensor network. In Internationl Computer Symposium
10
(ICS), pages 685–689, Chiayi, Taiwan, December 2016. URL: http://doi.org/10.
1109/ICS.2016.0141
91. Target handover for non-overlapping cameras
X. Huang, B. h. Huang, and X. m. Xiong. Target handover based on improved ORB
algorithm on non-overlapping cameras. Chinese Journal of Liquid Crystals and Displays,
8:810–817, 2016. URL: http://caod.oriprobe.com/articles/49264659/Target_handoff_
based_on_improved_ORB_algorithm_on_non_overlapping_came.htm
92. Real time multi-object tracking
A. Benamara, S. Miguet, and M. Scuturici. Real-time multi-object tracking with occlu-
sion and stationary objects handling for conveying systems. In International Sym-
posium on Visual Computing (ISVC), volume 10072 of Lecture Notes in Computer
Science, pages 136–145. Springer, December 2016. URL: http://doi.org/10.1007/
978-3-319-50835-1_13
93. Gesture segmentation and recognition
X. Wang. A study on gesture segmentation technology and recognition. International
Journal of Simulation, 17(45):1–6, 2016
94. Detection and Tracking of Vehicles
M. Wang, L. Jiang, W. Lu, and Q. Ma. Detection and tracking of vehicles based on video
and 2D radar information. In International Conference on Intelligent Transportation,
volume 53 of Smart Innovation, Systems and Technologies, pages 205–214. Springer,
December 2016. URL: http://doi.org/10.1007/978-981-10-2398-9_19
95. Traffic flow detection
L. Gan and R. Li. Multilane traffic flow detection based on adaptive virtual loop
algorithm. Journal of Computer Applications, 36(11), November 2016. URL: http:
//www.joca.cn/EN/abstract/article_19735.shtml
96. Defogging
J.-M. Guo, J.-Y. Syue, V. Radzicki, and H. Lee. Fusion-based and flicker free defogging.
In International Telemetering Conference, volume 52, pages 1–10, Glendale, Arizona,
USA, November 2016. URL: http://hdl.handle.net/10150/624187
97. Traffic flow analysis at crossroads
S. Datondji, Y. Dupuis, P. Subirats, and P. Vasseur. Rotation and translation estima-
tion for a wide baseline fisheye-stereo at crossroads based on traffic flow analysis. In
IEEE Intelligent Transportation Systems Conference (ITSC), pages 1534–1539, Rio de
Janeiro, Brazil, November 2016. URL: http://doi.org/10.1109/ITSC.2016.7795761
98. Segmentation of encrypted video streams
X. Jin, Y. Wu, X. Li, Y. Li, G. Zhao, and K. Guo. PPViBe: Privacy preserving back-
ground extractor via secret sharing in multiple cloud servers. In International Confer-
ence on Wireless Communications & Signal Processing (WCSP), pages 1–5, Yangzhou,
China, October 2016. URL: http://doi.org/10.1109/WCSP.2016.7752569
99. Vehicle detection
J. Liu, Q. Chen, and C. Zhang. Vehicle recognition using ViBe and SVM. Computer
11
Science & Engineering: An International Journal (CSEIJ), 6(4):21–29, August 2016.
URL: http://doi.org/10.5121/cseij.2016.6402
100. Anomalous behavior detection in crowded scenes
M. Yang, S. Rajasegarar, A. Rao, C. Leckie, and M. Palaniswami. Anomalous behavior
detection in crowded scenes using clustering and spatio-temporal features. In Interna-
tional Conference on Intelligent Information Processing, volume 486 of IFIP Advances
in Information and Communication Technology (IFIPAICT), pages 132–141. Springer,
2016. URL: http://doi.org/10.1007/978-3-319-48390-0_14
101. Detection of anomalous events
D. Xu, Y. Yan, E. Ricci, and N. Sebe. Detecting anomalous events in videos by learning
deep representations of appearance and motion. Computer Vision and Image Under-
standing, 156:117–127, March 2017. URL: http://doi.org/10.1016/j.cviu.2016.
10.010
102. Detection of forest fires
M. Cai, X. Lu, X. Mu, and Y. Feng. Intelligent video analysis-based forest fires smoke de-
tection algorithms. In International Conference on Natural Computation, Fuzzy Systems
and Knowledge Discovery (ICNC-FSKD), pages 1504–1508, Changsha, China, August
2016. URL: http://doi.org/10.1109/FSKD.2016.7603399
103. Ergonomics
J. Seo. Evaluation of construction workers’ physical demands through computer vision-
based kinematic data collection and analysis. PhD thesis, University of Michigan, 2016
104. Fall detection
S. Wang, L. Chen, Z. Zhou, X. Sun, and J. Dong. Human fall detection in surveil-
lance video based on PCANet. Multimedia Tools and Applications, 75(19):11603–11613,
October 2016. URL: http://doi.org/10.1007/s11042-015-2698-y
105. Human pose estimation
H.-C. Chang. A human pose estimated method based on a deep convolutional neu-
ral network. Master’s thesis, National Taiwan University of Science and Technol-
ogy, 2016. URL: http://pc01.lib.ntust.edu.tw/ETD-db/ETD-search/view_etd?
URN=etd-0810116-103256
106. Detection of bats and birds
N. Scholtz, J. Moll, M. Malze, K. Nagovitsyn, and V. Krozer. Random bounce algo-
rithm: real-time image processing for the detection of bats and birds. Signal, Image and
Video Processing, 10(8):1449–1456, November 2016. URL: http://doi.org/10.1007/
s11760-016-0951-0
107. Hardware for the detection of targets
Y. Qi. Video target detection based on the S3C6410 processor. Computer and Digital
Engineering, 7:1338–1342, July 2016. URL: http://caod.oriprobe.com/articles/
49067197/Video_Target_Detection_Based_on_S3C6410_Processor.htm
108. Detection of vehicles
Y. Zhang, C. Zhao, A. Chen, and X. Qi. Vehicle detection in urban traffic scenes
12
using the Pixel-Based Adaptive Segmenter with Confidence Measurement. Journal of
Intelligent & Fuzzy Systems, 31(3):1609–1620, August 2016. URL: http://doi.org/
10.3233/JIFS-151674
109. Tracking of objects in celestial images
Z. Lei, M. Wang, T. Lei, and L. Deren. Tracking moving weak objects in celestial image
sequences. IEEE Transactions on Aerospace and Electronic Systems, 52(3):1257–1266,
June 2016. URL: http://doi.org/10.1109/TAES.2015.150110
110. Gait detection
D. Shi, X. Li, and X. Shi. Gait detection based on ViBe background subtraction. Journal
of Changchun University of Technology (Natural Science Edition), 37(37):241–245, 2016.
URL: http://doi.org/10.15923/j.cnki.cn22-1382/t.2016.3.07
111. Detection of pedestrians
C. c. Qiu, T. Wang, H. s. Cheng, and M. Cao. Pedestrian detection based on an improved
ViBe algorithm. Information Technology, 3:6–9,14, 2016. URL: http://doi.org/10.
13274/j.cnki.hdzj.2016.03.002
112. Detection of multiple pedestrians
C. h. Pak, Y. l. Pan, H. Zhao, and H. b. Zhu. Multi-pedestrian detection approach based
on improved ViBe algorithm. Journal of Northeastern University (Natural Science),
37(4):481–485, April 2016. URL: http://doi.org/10.3969/j.issn.1005-3026.2016.
04.006
113. Prediction of human orientation in visual surveillance
R. Ramand, P. Sa, and B. Majhi. Direction prediction for avoiding occlusion in visual
surveillance. Innovations in Systems and Software Engineering, 12(3):201–214, Septem-
ber 2016. URL: http://doi.org/10.1007/s11334-016-0278-6
114. Intelligent video monitoring system
H. Fang, A. Li, and T. Wang. Design and realization of a DM6437-based intelligent
video monitoring system. Computer Applications and Software, 33(2):192–196, February
2016. URL: http://doi.org/10.3969/j.issn.1000-386x.2016.02.046
115. Tracking users at road intersections
J.-P. Jodoin, G.-A. Bilodeau, and N. Saunier. Tracking all road users at multimodal
urban traffic intersections. IEEE Transactions on Intelligent Transportation Systems,
17(11):3241–3251, November 2016. URL: http://doi.org/10.1109/TITS.2016.2545245
116. Shot scale distribution in art films
S. Benini, M. Svanera, N. Adami, R. Leonardi, and A. Kovacs. Shot scale distribution
in art films. Multimedia Tools and Applications, 75:16499–16527, December 2016. URL:
http://doi.org/10.1007/s11042-016-3339-9
117. Real-time vehicle detection
X. Zhuang, W. Kang, and Q. Wu. Real-time vehicle detection with foreground-based
cascade classifier. IET Image Processing, 10(4):289–296, April 2016. URL: http://
doi.org/10.1049/iet-ipr.2015.0333
13
118. Analysis of crowd behaviors
X. Wang, X. He, X. Wu, C. Xie, and Y. Li. A classification method based on streak
flow for abnormal crowd behaviors. Optik International Journal for Light and Electron
Optics, 127(4):2386–2392, February 2016. URL: http://doi.org/10.1016/j.ijleo.
2015.08.081
119. Optical inspection of IC solder joints
N. Cai, J. Lin, Q. Ye qnd H. Wang, S. Weng, and B. Ling. A new IC solder joint
inspection method for an automatic optical inspection system based on an improved
visual background extraction algorithm. IEEE Transactions on Components, Packaging
and Manufacturing Technology, 6(1):161–172, January 2016. URL: http://doi.org/
10.1109/TCPMT.2015.2501284
120. People counting
J. Luo, J. Wang, H. Xu, and H. Lu. Real-time people counting for indoor scenes. Signal
Processing, 124:27–35, 2016. URL: http://doi.org/10.1016/j.sigpro.2015.10.036
121. Tracking of multiple objects
S. Tian, F. Yuan, and G.-S. Xia. Multi-object tracking with inter-feedback between
detection and tracking. Neurocomputing, 171:768–780, January 2016. URL: http:
//doi.org/10.1016/j.neucom.2015.07.028
122. Crowd counting
M. Xu, E. Zhang, and Y. Chen. Fusion methods of pixels and texture feature for
crowd counting. Journal of Xian University of Technology, 31(3):340–346, 2015. URL:
http://xuebao.xaut.edu.cn/153-15.pdf
123. Human joint location and gait analysis
M. Meng, F. Yan, and Z. Luo. Human joint location and gait analysis based on depth
image. Journal of Huazhong University of Science and Technology (Nature Science
Edition), z1, 2015. URL: http://doi.org/10.13245/j.hust.15S1085
124. Multiple-target tracking
C. Zhou, Q. Dong, W. Ma, G. Long, and T. Li. PE-TLD: Parallel Extended Tracking-
Learning-Detection for multi-target tracking. In Algorithms and Architectures for Par-
allel Processing, volume 9529 of Lecture Notes in Computer Science, pages 665–677.
Springer, 2015. URL: http://doi.org/10.1007/978-3-319-27122-4_46
125. Detection of avian nesting events
K. Goehner, T. Desell, R. Eckroad, L. Mohsenian, P. Burr, N. Caswell, A. Andes, and
S. Ellis-Felege. A comparison of background subtraction algorithms for detecting avian
nesting events in uncontrolled outdoor video. In IEEE International Conference on
eScience (eScience), pages 187–195, Munich, Germany, August-September 2015. URL:
http://doi.org/10.1109/eScience.2015.10
126. Fast detection of vehicles
J. Gao and J. Pan. Fast video vehicle detection algorithm based on ViBe. Industrial
Control Computer, 4:118–119,122, 2015
14
127. Human action recognition
S. Maheswari and P. Arockia Jansi Rani. Human action recognition system based on sil-
houette. International Journal of Computer, Electrical, Automation, Control and Infor-
mation Engineering, 9(11):2275–2279, 2015. URL: http://waset.org/publications/
10004913
128. Laser tracking in bio-medical imaging
D. Ahmed, A. Atia, E. Rashed, and M.-S. Mostafa. Laser pointer interaction for 3D
angiography operation. IOSR Journal of Computer Engineering, 17(5):18–25, 2015.
URL: http://www.iosrjournals.org/iosr-jce/papers/Vol17-issue5/Version-1/
D017511825.pdf
129. Large scale monitoring of crowds and building utilization
S. Denman, C. Fookes, D. Ryan, and S. Sridharan. Large scale monitoring of crowds and
building utilisation: A new database and distributed approach. In IEEE International
Conference on Advanced Video and Signal Based Surveillance, pages 1–6, Karlsruhe,
Germany, August 2015. URL: http://doi.org/10.1109/AVSS.2015.7301796
130. Video analytic applications
X. Zhao, H. Ma, H. Zhang, Y. Tang, and Y. Kou. HVPI: Extending hadoop to support
video analytic applications. In IEEE International Conference on Cloud Computing
(CLOUD), pages 789–796, New York, USA, June-July 2015. URL: http://doi.org/
10.1109/CLOUD.2015.109
131. Detection of vehicle orientation
C. Walker and G. Walker. Systems and methods for controlling vehicle position and
orientation, 2015. US patent US20150378361A1
132. Video surveillance for embedded systems
M. Wang, H. Chen, and X. Liu. Design of smart video sensor based on Cortex-A8. Com-
puter Applications and Software, 4:137–140, 2015. URL: http://caod.oriprobe.com/
articles/44258217/DESIGN_OF_SMART_VIDEO_SENSOR_BASED_ON_CORTEX_A8.htm
133. Detection of moving ships
J. Wang, J. Liao, X. Chen, B. Li, and Q. Chen. A parameter detection algorithm
of moving ship based on video sequence. Journal of Nanjing University (Natural Sci-
ences), 2:227–233, 2015. URL: http://caod.oriprobe.com/articles/44168807/A_
parameter_detection_algorithm_of_moving_ship_based_on_video_sequence.htm
134. Noise suppression
X. Zhou, F. Zhao, and Y. Zhu. Noise-suppression method for flicker pixels in dynamic
outdoor scenes based on ViBe. Journal of Computer Applications, 6:1739–1743,1748,
2015. URL: http://caod.oriprobe.com/articles/46228502/Noise_suppression_
method_for_flicker_pixels_in_dyn.htm
135. Trajectory Descriptor for action recognition in videos
Y. Shi, W. Zeng, T. Huang, and Y. Wang. Learning deep trajectory descriptor for action
recognition in videos using deep neural networks. In IEEE International Conference on
Multimedia and Expo (ICME), pages 1–6, Turin, Italy, June-July 2015. URL: http:
//doi.org/10.1109/ICME.2015.7177461
15
136. Target localization of wireless visual sensor networks
W. Li, J. Portilla, F. Moreno, G. Liang, and T. Riesgo. Multiple feature points repre-
sentation in target localization of wireless visual sensor networks. Journal of Network
and Computer Applications, 57:119–128, November 2015. URL: http://doi.org/10.
1016/j.jnca.2015.07.013
137. Person re-identification
L. Wei and S. Shah. Subject centric group feature for person re-identification. In
IEEE International Conference on Computer Vision and Pattern Recognition Work-
shops (CVPRW), pages 28–35, Boston, Massachusetts, USA, June 2015. URL: http:
//doi.org/10.1109/CVPRW.2015.7301280
138. Laser pointer tracking
S.-H. Kang and C.-K. Yung. Laser-pointer human computer interaction system. In
IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pages 1–
6, Turin, Italy, June-July 2015. URL: http://doi.org/10.1109/ICMEW.2015.7169844
139. Detection of copy-move forgery in video sequences
L.-B. Zhang, T.-F. Sun, and X.-H. Jiang. Moving targets copy-move forgery detection
in video sequences. Journal of Shanghai Jiaotong University, 2:196–201,208, 2015. URL:
http://caod.oriprobe.com/articles/44366301/Moving_Targets_Copy_Move_Forgery_
Detection_in_Vide.htm
140. Crowd counting
P. Zhou, Q. Ding, H. Luo, and X. Hou. Video-based crowd counting with information
entropy. In Chinese Control and Decision Conference (CCDC), pages 338–342, Qingdao,
China, May 2015. URL: http://doi.org/10.1109/CCDC.2015.7161714
141. Motion saliency detection
Z. Wang, J. Xiong, and Q. Zhang. Motion saliency detection based on temporal dif-
ference. Journal of Electronic Imaging, 24(3), May 2015. URL: http://doi.org/10.
1117/1.JEI.24.3.033022
142. Detection of vehicles
A. Varghese and G. Sreelekha. Background subtraction for vehicle detection. In Global
Conference on Communication Technologies (GCCT), pages 380–382, Thuckalay, Tamil
Nadu, India, April 2015. URL: http://doi.org/10.1109/GCCT.2015.7342688
143. Fall detection of elderly people
Y.-P. Wang, Y.-C. Zhang, H.-J. Yang, C. Zhao, and Y. Han. Elderly sudden disabil-
ity detection based on vision sensor. Computer Systems & Applications, 6(24):158–
162, June 2015. URL: http://www.c-s-a.org.cn/ch/reader/view_abstract.aspx?
flag=1&file_no=20150629&journal_id=cas
144. Foreground detection for a moving camera
T. Minematsu, H. Uchiyama, A. Shimada, H. Nagahara, and R. i. Taniguchi. Evalua-
tion of foreground detection methodology for a moving camera. In Korea-Japan Joint
Workshop on Frontiers of Computer Vision (FCV), pages 1–4, Mokpo, South Korea,
January 2015. URL: http://doi.org/10.1109/FCV.2015.7103752
16
145. Detection of cracks
A. Talab, Z. Huang, F. Xi, and L. Haiming. Moving crack detection based on improved
VIBE and multiple filering in image processing techniques. International Journal of
Signal Processing, Image Processing and Pattern Recognition, 8(2):275–286, 2015. URL:
http://doi.org/10.14257/ijsip.2015.8.2.27
146. Live video synopsis
Y. Hoshen and S. Peleg. Live video synopsis for multiple cameras. CoRR, abs/1505.05254,
2015. URL: http://arxiv.org/abs/1505.05254
147. Activity Recognition in thermal videos
J. Hossen, E. Jacobs, and F. Chowdhury. Activity recognition in thermal infrared video.
In Proceedings of the IEEE SoutheastCon, pages 1–2, Fort Lauderdale, Florida, USA,
April 2015. URL: http://doi.org/10.1109/SECON.2015.7132922
148. Human motion analysis on depth images
M. Meng, Y. Bo, S. Aoyama, S. Yao, and L. Zhizeng. Human motion detection based
on the depth image of Kinect. Chinese Journal of Scientific Instrument, 36(2):386–393,
March 2015. URL: http://caod.oriprobe.com/articles/44012986/Human_motion_
detection_based_on_the_depth_image_of.htm
149. Control of visitors on sites
L. Sun. Visitors monitoring on sites using image extraction and ViBe. Computer CD
Software and Applications, 1, April 2015. URL: http://doi.org/
150. Tracking
S. Hu, S. Sun ahd X. Ma, Y. Qin, and B. Lei. A fast on-line boosting tracking al-
gorithm based on multi-feature cascade screening detection. Computer Applications
and Software, 32(2):236–239, February 2015. URL: http://doi.org/10.3969/j.issn.
1000-386x.2015.02.058
151. Anomaly localization for surveillance videos
D. Pathak, A. Sharang, and A. Mukerjee. Anomaly localization in topic-based analysis
of surveillance videos. In IEEE Winter Conference on Applications of Computer Vision
(WACV), pages 389–395, Waikoloa, Hawaii, USA, January 2015. URL: http://doi.
org/10.1109/WACV.2015.58
152. Detection of aquatic debris/embedded system
Y. Wang, D. Wang, Q. Lu, D. Luo, and W. Fang. Aquatic debris detection using
embedded camera sensors. Sensors, 15(2):3116–3137, 2015. URL: http://doi.org/
10.3390/s150203116
153. Human action recognition
N. Tang, Y.-Y. Lin, J.-H. Hua, S.-E. Wei, M.-F. Weng, and H.-Y. Liao. Robust ac-
tion recognition via borrowing information across video modalities. IEEE Transactions
on Image Processing, 24(2):709–723, February 2015. URL: http://doi.org/10.1109/
TIP.2014.2385591
154. People counting
N. Tang, Y.-Y. Lin, M.-F. Weng, and H.-Y. Liao. Cross-camera knowledge transfer
17
for multiview people counting. IEEE Transactions on Image Processing, 24(1):80–93,
January 2015. URL: http://doi.org/10.1109/TIP.2014.2363445
155. Fall detection
H. Lu, B. Yang, R. Zhao, P. Qu, and W. Zhang. Intelligent human fall detection
for home surveillance. In IEEE International Conference on Scalable Computing and
Communications Workshop, pages 672–676, Bali, Indonesia, December 2014. URL:
http://doi.org/10.1109/UIC-ATC-ScalCom.2014.56
156. Pedestrian detection
D. Ettehadieh. Systematic parameter optimization and application of automated track-
ing pedestrian-dominant situations. Master’s thesis, Polytechnique Montréal, December
2014
157. Humanoid/robot vision
E. Sabbaghi, M. Bahrami, and S. Ghidary. Learning of gestures by imitation using a
monocular vision system on a humanoid robot. In Second RSI/ISM International Con-
ference on Robotics and Mechatronics (ICRoM), pages 588–594, Tehran, Iran, October
2014. URL: http://doi.org/10.1109/ICRoM.2014.6990966
158. Continuous action recognition
T. Tiang. Machine learning for continuous human action recognition. CS2 29 Project
Final Report, Stanford University, December 2014
159. Object tracking using parallel computing
R. Rohit, S. Sachin, S. Prasanna, R. Vignesh, G. Shobha, and R. Hemavathy. Perfor-
mance comparison of object tracking methods on video frames using parallel comput-
ing. In International Conference on Circuits, Communication, Control and Computing
(I4C), pages 357–362, Bangalore, India, November 2014. URL: http://doi.org/10.
1109/CIMCA.2014.7057823
160. License plate localization
F. Shami, F. Bidokhti, S. Rafiee, and N. Eghbal. Automatic license plate localization in
traffic videos. In International Congress on Technology, Communication and Knowledge
(ICTCK), pages 1–8, Mashhad, Iran, November 2014. URL: http://doi.org/10.1109/
ICTCK.2014.7033522
161. People counting
B. Li, J. Zhang, Z. Zhang, and Y. Xu. A people counting method based on head detection
and tracking. In International Conference on Smart Computing (SMARTCOMP), pages
136–141, Hong Kong, November 2014. URL: http://doi.org/10.1109/SMARTCOMP.
2014.7043851
162. Pedestrian detection
G. Furh and C. Jung. Combining patch matching and detection for robust pedestrian
tracking in monocular calibrated cameras. Pattern Recognition Letters, 39:11–20, April
2014
163. Flame detection
W. Xie. The research of flame detection in video based on multi-feature fusion. Computer
Knowledge and Technology, 10(22):5303–5306, August 2014
18
164. Recognition of human body movements
J. q. Xu, P. p. Jiang, H. b. Zhu, and W. Zuo. An improved ViBe algorithm for moving
object detection. Journal of North Eastern University, Natural Science, 36(9):1227–
1231, September 2015. URL: http://doi.org/10.3969/j.issn.1005-3026.2015.09.
00
165. Fish monitoring
B. Boom, J. He, S. Palazzo, P. Huang, C. Beyan, H.-M. Chou, F.-P. Lin, C. Spampinato,
and R. Fisher. A research tool for long-term and continuous analysis of fish assem-
blage in coral-reefs using underwater camera footage. Ecological Informatics, 23:83–97,
September 2014. URL: http://doi.org/10.1016/j.ecoinf.2013.10.006
166. Classification of vehicles
L. Ng, S. Suandi, and S. Teoh. Vehicle classification using visual background extractor
and multi-class support vector machines. In International Conference on Robotic, Vi-
sion, Signal Processing, and Power Applications, volume 291 of Lecture Notes in Elec-
trical Engineering, pages 221–227. Springer, 2014. URL: http://doi.org/10.1007/
978-981-4585-42-2_26
167. Detection of pedestrians
X. Pu and Z. Guo. Pedestrian detection in video of outdoor condition. In Interna-
tional Conference on Security, Pattern Analysis, and Cybernetics (SPAC), pages 36–41,
Wuhan, Hubei, China, October 2014. URL: http://doi.org/10.1109/SPAC.2014.
6982653
168. Tracking
M. Rogez, L. Robinault, and L. Tougne. A 3D tracker for ground-moving objects.
In Advances in Visual Computing, volume 8888 of Lecture Notes in Computer Science,
pages 695–705. Springer, 2014. URL: http://doi.org/10.1007/978-3-319-14364-4_
67
169. Timestamp of video sequences
G. Ben-Artzi, M. Werman, and S. Peleg. Event matching from significantly different
views using motion barcodes. CoRR, abs/1412.1455, 2014. URL: http://arxiv.org/
abs/1412.1455
170. Recognition of fish species
K. Blanc, D. Lingrand, and F. Precioso. Fish species recognition from video using
svm classifier. In LifeCLEF Conference, pages 778–784, Sheffield, UK, September 2014.
URL: http://ceur-ws.org/Vol-1180/
171. Semi-autonomous vehicle guidance
C. Walker. A real-time vision system for a semi-autonomous surface vehicle. Master’s
thesis, Arizona State University, August 2014
172. Sub-marine video analysis
S. Palazzo, C. Spampinato, and D. Giordano. Large scale data processing in ecology: A
case study on long-term underwater video monitoring. In Euromicro International Con-
ference on Parallel, Distributed, and Network-Based Processing, pages 312–316, Torino,
Italy, February 2014. URL: http://doi.org/10.1109/PDP.2014.80
19
173. Detection of vehicles
M. Zhang, Y.-J. Feng, K. Li, and F. Lin. A fast detection algorithm for moving vehicle
in traffic scenes. In Chinese Control Conference (CCC), pages 4727–4731, Nanjing,
China, July 2014. URL: http://doi.org/10.1109/ChiCC.2014.6895737
174. People detection based on thermal cameras taken by a UAV
J. Portmann, S. Lynen, M. Chli, and R. Siegwart. People detection and tracking from
aerial thermal views. In IEEE International Conference on Robotics and Automation
(ICRA), pages 1794–1800, Hong Kong, China, May-June 2014. URL: http://doi.org/
10.1109/ICRA.2014.6907094
175. Multimodal biometric identification
S. Ouellet, F. Grondin, F. Leconte, and F. Michaud. Multimodal biometric identifi-
cation system for mobile robots combining human metrology to face recognition and
speaker identification. In IEEE International Symposium on Robot and Human In-
teractive Communication, pages 323–328, Edinburgh, Scotland, August 2014. URL:
http://doi.org/10.1109/ROMAN.2014.6926273
176. Human action recognition
N. Tang, Y.-Y. Lin, J-.H. Hua, and M.-F. Weng. Human action recognition using asso-
ciated depth and skeleton information. In IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), pages 4608–4612, Florence, Italy, May 2014.
URL: http://doi.org/10.1109/ICASSP.2014.6854475
177. Content-based image retrieval
C. Chattopadhyay and A. Maurya. Multivariate time series modeling of geometric
features of spatio-temporal volumes for content based video retrieval. International
Journal of Multimedia Information Retrieval, 3(1):15–28, 2014. URL: http://doi.
org/10.1007/s13735-013-0042-8
178. Detection of flying birds
J. Zhang, Q. Xu, X. Cao, P. Yan, and X. Li. Hierarchical incorporation of shape and
shape dynamics for flying bird detection. Neurocomputing, 131:179–190, May 2014.
URL: http://doi.org/10.1016/j.neucom.2013.10.026
179. Analysis of human movements
Y. Liu, C. Shu, and Z. Fu. Dynamic gesture localization and recognition algorithm
based on skeletonization. Electronic Science and Technology, 27(3):7–11, March 2014
180. Contour extraction in video surveillance
H. y. Xia, Y. h. Yan, S. g. Huang, and W. j. Xiao. A reliable contour extraction method
for motion object in surveillance systems. Journal of Guangxi Normal University (Nat-
ural Science Edition), 32(4):39–44, 2014. URL: http://doi.org/10.16088/j.issn.
1001-6600.2014.04.007
181. Road map robot planning
S. Manocha. Roadmap based robot motion planning. Technical Report SURGE Program
2014, Project Report, Indian Institute of Technology, Kanpur, India, 2014. URL: http:
//home.iitk.ac.in/~smanocha/SiddhantManocha/Surge_Report.pdf
20
182. Conversion of a video stream to produce a 3D video stream
L. Wang and C. Jung. Example-based video stereolization with foreground segmentation
and depth propagation. IEEE Transactions on Multimedia, 16(7):1905–1914, November
2014. URL: http://doi.org/10.1109/TMM.2014.2341599
183. Tracking of multiple objects in urban traffic
J.-P. Jodoin, G.-A. Bilodeau, and N. Saunier. Urban tracker: Multiple object tracking
in urban mixed traffic. In IEEE Winter Applications of Computer Vision Conference
(WACV), pages 885–892, Steamboat Springs, Colorado, USA, March 2014. URL: http:
//doi.org/10.1109/WACV.2014.6836010
184. Detection of pedestrians
F. Liang, S. Tang, Y. Zhang, Z. Xu, and J. Li. Pedestrian detection based on sparse
coding and transfer learning. IAPR Workshop on Machine Vision Applications (MVA),
25(7):1697–1709, October 2014. URL: http://doi.org/10.1007/s00138-013-0549-2
185. Fast detection of fishes
J. Tan, T. Chang, M. Ooi, and Y. Kuang. Fast and robust zebrafish segmentation and
detection algorithm under different spectrum conditions. In IEEE Sensors Applications
Symposium (SAS), pages 189–194, Queenstown, New Zealand, February 2014. URL:
http://doi.org/10.1109/SAS.2014.6798944
186. Conception of visual prostheses
J. Wang, Y. Lu, L. Gu, C. Zhou, and X. Chai. Moving object recognition under simu-
lated prosthetic vision using background-subtraction-based image processing strategies.
Information Sciences, 277:512–524, September 2014. URL: http://doi.org/10.1016/
j.ins.2014.02.136
187. Vehicle detection
Y. Yang, M. Sun, and Y. Kim. A vehicle detection method based on improved ViBe al-
gorithm. Journal of Chongqing University of Posts and Telecommunications, 26(3):397–
403, June 2014. URL: http://doi.org/10.3979/j.issn.1673-825X.2014.03.021
188. Fire detection
M. Ligang, C. Yanjun, and W. Aizhong. Flame region detection using color and motion
features in video sequences. In Chinese Control and Decision Conference (CCDC),
pages 3005–3009, Changsha, China, May-June 2014. URL: http://doi.org/10.1109/
CCDC.2014.6852689
189. Analysis of human motion
N. Tang, C.-T. Hsu, M.-F. Weng, T.-Y. Lin, and H.-Y. Liao. Example-based human mo-
tion extrapolation and motion repairing using contour manifold. IEEE Transactions on
Multimedia, 16(1):47–59, January 2014. URL: http://doi.org/10.1109/TMM.2013.
2283844
190. Monitoring of fish populations
C. Spampinato, E. Beauxis-Aussalet, S. Palazzo, C. Beyan, J. van Ossenbruggen, J. He,
B. Boom, and X. Huang. A rule-based event detection system for real-life underwa-
ter domain. IAPR Workshop on Machine Vision Applications (MVA), 25(1):99–117,
January 2014. URL: http://doi.org/10.1007/s00138-013-0509-x
21
191. Video compression at low bit rate
P. Anand and S. Kar. Modifying open source tools for video pre-processing to achieve
ultra low bandwidth for video surveillance over delay tolerant networks. In India
Conference (INDICON), pages 1–4, Mumbai, India, December 2013. URL: http:
//doi.org/10.1109/INDCON.2013.6725935
192. Analysis of fast human movements
B. Singh, D. Singh, and G. Singh. Recognizing fast moving objects at normal human
perception rate. In IEEE International Conference on Image Information Processing
(ICIIP), pages 119–124, Shimla, India, December 2013. URL: http://doi.org/10.
1109/ICIIP.2013.6707567
193. Quick detection of visual events
F. Yuan, C. Tang, S. Tian, and H. Hao. A framework for quick and accurate access
of interesting visual events. In Advances in Visual Computing, volume 8034 of Lecture
Notes in Computer Science, pages 168–177. Springer, 2013. URL: http://doi.org/
10.1007/978-3-642-41939-3_17
194. Detection of aerial targets
M. Zheng, Z.-R. Wu, S. Bakhdavlatov, J.-S. Qu, H.-Y. Li, and J.-J. Yuan. Real-time
aerial targets detection algorithm based background subtraction. In Asia-Pacific Signal
and Information Processing Association Annual Summit and Conference, pages 1–6,
Kaohsiung, Taiwan, Oct.-Nov. 2013. URL: http://doi.org/10.1109/APSIPA.2013.
6694203
195. Detection of humans in a cluttered environment
Y. Tan, X. Luo, and H. Xia. Real-time and reliable human detection in clutter scene. In
Pattern Recognition and Computer Vision, volume 8919, Wuhan, China, October 2013.
URL: http://doi.org/10.1117/12.2031338
196. Dog detection
C. Prashanth and P. Bhuvaneswari. Stray dog detection in wired camera network. IC-
TAT Journal on Image and Video Processing, 4(1):642–646, August 2013. URL: https:
//www.ingentaconnect.com/content/doaj/09769099/2013/00000004/00000001/art00002
197. Tracking with a moving camera
C.-L. Hwang and K.-C. Chang. Adaptive visual tracking via learning detector of specific
landmarks. In IEEE International Conference on Computational Intelligence and Vir-
tual Environments for Measurement Systems and Applications (CIVEMSA), pages 66–
71, Milan, Italy, July 2013. URL: http://doi.org/10.1109/CIVEMSA.2013.6617397
198. Security system
L. Varghese and S. Adarsh and. GUARDICON: A low cost novel energy efficient in-
tegrated security system for temples and other places. In International Conference on
Microelectronics, Communication and Renewable Energy (ICMiCR), pages 1–4, Kan-
jirapally, India, June 2013. URL: http://doi.org/10.1109/AICERA-ICMiCR.2013.
6576019
199. Person identification
M. Saghafi, A. Hussain, H. Zaman, and M. Saad. Color-spatial person re-identification
22
by a voting matching scheme. In Advances in Visual Informatics, volume 8237 of Lecture
Notes in Computer Science, pages 470–482. Springer, 2013. URL: http://doi.org/10.
1007/978-3-319-02958-0_43
200. Cross-camera vehicle matching
C.-H. Hsu, C.-Y. Lin, L.-W. Kang, and H.-Y. Liao. Cross-camera complementary vehicle
matching via feature expandsion for video forensics. In International Symposium on
Consumer Electronics (ISCE), pages 211–212, Hsinchu, China, June 2013. URL: http:
//doi.org/10.1109/ISCE.2013.6570190
201. Detection of pedestrians
F. Liang, S. Tang, Y. Wang, Q. Han, and J. Li. A sparse coding based transfer learning
framework for pedestrian detection. In Advances in Multimedia Modeling, volume 7733
of Lecture Notes in Computer Science, pages 272–282. Springer, 2013. URL: http:
//doi.org/10.1007/978-3-642-35728-2_26
202. On-line tracking
S. Hu, S.-F. Sun, X.-B. Ma, Y.-S. Qin, and B.-J. Lei. A fast on-line boosting tracking
algorithm based on cascade filter of multi-features. In International Conference on
Multimedia Technology (ICMT), pages 1862–1869, Guangzhou, China, November 2013.
URL: http://doi.org/10.2991/icmt-13.2013.226
203. Video content analysis for classification
C. Chattopadhyay and A. Maurya. Genre-specific modeling of visual features for efficient
content based video shot classification and retrieval. International Journal of Multimedia
Information Retrieval, 2(4):289–297, November 2013. URL: http://doi.org/10.1007/
s13735-013-0034-8
204. Detection of key frames in video sequences
J. Huang, Y. Cong, H. Gao, Y. Tang, and H. Yu. Online semantic condense video in
robotic scene via dictional selection. Chinese Science Bulletin, 58(S2):112–120, 2013.
URL: http://doi.org/10.1360/972013-951
205. Pedestrian counting
C. Sun, Q. Zou, W. Fu, and J. Wang. Multiple hypotheses based spatial-temporal
association for stable pedestrian counting. In Advances in Multimedia Information
Processing, volume 8294 of Lecture Notes in Computer Science, pages 803–810. Springer,
2013. URL: http://doi.org/10.1007/978-3-319-03731-8_75
206. Detection of pedestrians
B. Leng, Q. He, H. Xiao, B. Li, H. Wang, Y. Hu, W. Wu, G. Guan, H. Zou, and
L. Liang. An improved pedestrians detection algorithm using HOG and ViBe. In
IEEE International Conference on Robotics and Biomimetics (ROBIO), pages 240–
244, Shenzhen, China, December 2013. URL: http://doi.org/10.1109/ROBIO.2013.
6739465
207. Obstacle detection for robot motion
I. Iyidir, F. Tek, and D. Kircali. Adaptive visual obstacle detection for mobile robots
using monocular camera and ultrasonic sensor. In European Conference on Computer
23
Vision (ECCV), volume 7584 of Lecture Notes in Computer Science, pages 526–535.
Springer, 2012. URL: http://doi.org/10.1007/978-3-642-33868-7_52
208. Detection of pedestrians
F. Liang, D. Wang, Y. Liu, Y. Jiang, and S. Tang. Fast pedestrian detection based
on sliding window filtering. In Advances in Multimedia Information Processing, volume
7674 of Lecture Notes in Computer Science, pages 811–822. Springer, 2012. URL: http:
//doi.org/10.1007/978-3-642-34778-8_76
209. People counting
M.-F. Weng, Y.-Y. Lin, N. Tang, and H.-Y. Liao. Visual knowledge transfer among
multiple cameras for people counting with occlusion handling. In ACM International
Conference on Multimedia, pages 439–448, Nara, Japan, 2012. URL: http://doi.acm.
org/10.1145/2393347.2393411
210. People counting
V. Subburaman, A. Descamps, and C. Carincotte. Counting people in the crowd using
a generic head detector. In IEEE International Workshop on Performance Evaluation
of Tracking and Surveillance (PETS), pages 470–475, Beijing, China, September 2012.
URL: http://doi.org/10.1109/AVSS.2012.87
211. Event detection in underwater domain
S. Palazzo, C. Spampinato, and C. Beyan. Event detection in underwater domain by
exploiting fish trajectory clustering. In ACM International workshop on Multimedia
analysis for ecological data, MAED ’12, pages 31–36, Nara, Japan, 2012. ACM. URL:
http://doi.acm.org/10.1145/2390832.2390840
212. People counting in a dense crowd
B. Yogameena, S. Saravana Perumal, N. Packiyaraj, and P. Saravanan. Ma-Th algorithm
for people count in a dense crowd and their behaviour classification. In International
Conference on Machine Vision and Image Processing (MVIP), pages 17–20, Coimbat-
ore, India, December 2012. URL: http://dx.doi.org/10.1109/MVIP.2012.6428750
213. Traffic analysis
J. Jiang, T. Wang, M. Qi, and H. An. Statistical algorithm for traffic flow based on
ViBe. Journal of Electronic Measurement and Instrument, 26(6):558–563, 2012
214. Support for visual awareness in video surveillance
B. Höferlin, M. Höferlin, M. Raschke, G. Heidermann, and D. Weiskopf. Interactive
auditory display to support situational awareness in video surveillance. In International
Conference on Auditory Display (ICAD 2011), Budapest, Hungary, June 2011
215. Traffic management
S. Hetu and G. Tan. Perennial simulation of a legacy traffic model: implementation,
considerations, and ramifications. In Proceedings of the Winter Simulation Conference,
pages 1524–1535, Phoenix, Arizona, December 2011. URL: http://doi.org/10.1109/
WSC.2011.6147870
24