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Publications of S. Piérard
Articles in journal or book chapters
  1. B. Laugraud, S. Piérard, and M. Van Droogenbroeck. LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation. Journal of Imaging, 4(7):86, June 2018. Keyword(s): Background generation, Background initialization, LaBGen, Semantics. [bibtex-entry]


  2. B. Laugraud, S. Piérard, and M. Van Droogenbroeck. LaBGen: A Method Based on Motion Detection for Generating the Background of a Scene. Pattern Recognition Letters, 96:12-21, 2017. Keyword(s): LaBGen, Background initialization, Background generation, Background subtraction, SBMI dataset, SBMC contest. [bibtex-entry]


  3. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. Boosting Shape Classifiers Accuracy by Considering the Inverse Shape. Journal of Pattern Recognition Research, 11(1):41-54, 2016. Keyword(s): Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments. [bibtex-entry]


  4. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Defining a score based on gait analysis for the longitudinal follow-up of MS patient. Multiple Sclerosis Journal, 23(S11):408-409, September 2015. Note: Proceedings of ECTRIMS 2015 (Barcelona, Spain), P817. Keyword(s): GAIMS, Gait analysis, Multiple sclerosis, EDSS. [bibtex-entry]


  5. A. Giet, S. Piérard, M. Foidart-Dessalle, M. Van Droogenbroeck, and R. Phan-Ba. Assessment of physical therapy and activity in multiple sclerosis (APTAIMS): development, reliability and validity of a new questionnaire. Multiple Sclerosis Journal, 21(4):531, April 2015. Note: Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2015 (Milano, Italy). Keyword(s): GAIMS, Multiple sclerosis. [bibtex-entry]


  6. R. Phan-Ba, S. Piérard, A. Giet, and M. Van Droogenbroeck. Individual variation of gait characteristics along a 500 meter walk in people with multiple sclerosis and healthy volunteers. Multiple Sclerosis Journal, 21(4):532-533, April 2015. Note: Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2015 (Milano, Italy). Keyword(s): GAIMS, Multiple sclerosis, Gait analysis. [bibtex-entry]


  7. S. Piérard, R. Phan-Ba, A. Giet, and M. Van Droogenbroeck. GAIMS: a tool specifically developed for the clinical gait analysis of patients with multiple sclerosis. Multiple Sclerosis Journal, 21(4):498-499, April 2015. Note: Proceedings of Rehabilitation in Multiple Sclerosis (RIMS) 2015 (Milano, Italy). Keyword(s): GAIMS, Motor fatigue, Gait analysis, Multiple sclerosis. [bibtex-entry]


  8. S. Piérard, R. Phan-Ba, and M. Van Droogenbroeck. Understanding how people with MS get tired while walking. Multiple Sclerosis Journal, 23(S11):406, September 2015. Note: Proceedings of ECTRIMS 2015 (Barcelona, Spain), P812. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Motor fatigue. [bibtex-entry]


  9. P.-M. Jodoin, S. Piérard, Y. Wang, and M. Van Droogenbroeck. Overview and Benchmarking of Motion Detection Methods. In T. Bouwmans, F. Porikli, B. Hoferlin, and A. Vacavant, editors, Background Modeling and Foreground Detection for Video Surveillance, chapter 24. Chapman and Hall/CRC, July 2014. Keyword(s): Background subtraction, Book. [bibtex-entry]


  10. S. Piérard, S. Azrour, R. Phan-Ba, V. Delvaux, P. Maquet, and M. Van Droogenbroeck. Diagnosing multiple sclerosis with a gait measuring system, an analysis of the motor fatigue, and machine learning. Multiple Sclerosis Journal, 20(S1):171, September 2014. Note: Proceedings of ACTRIMS/ECTRIMS 2014 (Boston, USA), P232. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Motor Fatigue. [bibtex-entry]


  11. R. Phan-Ba, S. Piérard, E. Lommers, G. Delrue, P. Calay, M. Van Droogenbroeck, V. Delvaux, and P. Maquet. Relative Contribution of Walking Speed, Ataxia and Gait asymmetry to the Composition of Gait in Multiple Sclerosis. Multiple Sclerosis Journal, 19(S1):261, October 2013. Note: Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P608. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Walking speed, Ataxia. [bibtex-entry]


  12. S. Piérard, S. Azrour, R. Phan-Ba, and M. Van Droogenbroeck. GAIMS: A Reliable Non-Intrusive Gait Measuring System. ERCIM News, 95:26-27, October 2013. Keyword(s): Multiple Sclerosis, Gait, Outcome measure, GAIMS, Immersion, Machine learning. [bibtex-entry]


  13. S. Piérard, R. Phan-Ba, V. Delvaux, P. Maquet, and M. Van Droogenbroeck. GAIMS: a powerful gait analysis system satisfying the constraints of clinical routine. Multiple Sclerosis Journal, 19(S1):359, October 2013. Note: Proceedings of ECTRIMS/RIMS 2013 (Copenhagen, Denmark), P800. Keyword(s): Multiple Sclerosis, Gait, Outcome measure, GAIMS. [bibtex-entry]


  14. S. Belachew, S. Piérard, R. Phan-Ba, and M. Van Droogenbroeck. Multimodal evaluation of gait and stride dynamics in relapsing and progressive forms of multiple sclerosis. Proceedings of the Belgian Royal Academies of Medicine, 1:66-69, 2012. Keyword(s): Multiple Sclerosis, Gait, Walking speed, Ataxia, Motor fatigue, Foot dynamics, Stride, GAIMS, Ambulation sclerosis. [bibtex-entry]


  15. A. Lejeune, S. Piérard, M. Van Droogenbroeck, and J. Verly. Utilisation de la Kinect. Linux Magazine France, 151:16-29, Juillet-Août 2012. Keyword(s): Kinect, Image processing, 3D, Range, Depth map, Acquisition. [bibtex-entry]


Conference articles
  1. S. Piérard and M. Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014. [bibtex-entry]


  2. S. Azrour, S. Piérard, P. Geurts, and M. Van Droogenbroeck. A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 3-14, 2017. Keyword(s): Pose estimation, Orientation estimation. [bibtex-entry]


  3. M. Braham, S. Piérard, and M. Van Droogenbroeck. Semantic Background Subtraction. In IEEE International Conference on Image Processing, Beijing, China, pages 4552-4556, September 2017. Keyword(s): Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014. [bibtex-entry]


  4. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation. [bibtex-entry]


  5. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Leveraging orientation knowledge to enhance human pose estimation methods. In Articulated Motion and Deformable Objects AMDO, volume 9756 of Lecture Notes in Computer Science, Palma, Mallorca, Spain, pages 81-87, 2016. Springer. Keyword(s): Human pose estimation, Orientation, 3D, Machine learning. [bibtex-entry]


  6. S. Piérard and S. Azrour M. Van Droogenbroeck. Slicing the 3D space into planes for the fast interpretation of human motion. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Human, Motion, Gait analysis, GAIMS. [bibtex-entry]


  7. S. Piérard and M. Van Droogenbroeck. What are the optimal walking tests to assess disability progression?. In European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), London, UK, September 2016. Keyword(s): GAIMS, Gait analysis, Multiple sclerosis. [bibtex-entry]


  8. B. Laugraud, S. Piérard, M. Braham, and M. Van Droogenbroeck. Simple median-based method for stationary background generation using background subtraction algorithms. In International Conference on Image Analysis and Processing (ICIAP), Workshop on Scene Background Modeling and Initialization (SBMI), volume 9281 of Lecture Notes in Computer Science, pages 477-484, 2015. Note: Source code in C++ available. Keyword(s): Background subtraction, Background image, Source code. [bibtex-entry]


  9. S. Piérard and M. Van Droogenbroeck. A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance. In International Conference on Image Analysis and Processing (ICIAP), Workshop on Scene Background Modeling and Initialization (SBMI), volume 9281 of Lecture Notes in Computer Science, pages 56-65, September 2015. Keyword(s): Background subtraction, Evaluation, Performance analysis, Upper bound. [bibtex-entry]


  10. S. Azrour, S. Piérard, P. Geurts, and M. Van Droogenbroeck. Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 649-654, April 2014. Keyword(s): Data normalization, Machine learning, Multiple sclerosis. [bibtex-entry]


  11. S. Piérard, A. Alvarez, A. Lejeune, and M. Van Droogenbroeck. On-the-fly Domain Adaptation of Binary Classifiers. In Belgian-Dutch Conference on Machine Learning (BENELEARN), Brussels, Belgium, June 2014. Keyword(s): Classifier, Machine learning. [bibtex-entry]


  12. S. Piérard, S. Azrour, R. Phan-Ba, and M. Van Droogenbroeck. Detection and characterization of gait modifications, for the longitudinal follow-up of patients with neurological diseases, based on the gait analyzing system GAIMS. In European Life Sciences Summit BIOMEDICA, Maastricht, The Netherlands, June 2014. Keyword(s): GAIMS, Gait, Follow-up, Patient, Multiple sclerosis. [bibtex-entry]


  13. S. Piérard, S. Azrour, and M. Van Droogenbroeck. Design of a reliable processing pipeling for the non-intrusive measurement of feet trajectories with lasers. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, pages 4399-4403, May 2014. Keyword(s): GAIMS, Feet, Multiple sclerosis. [bibtex-entry]


  14. S. Piérard, R. Phan-Ba, and M. Van Droogenbroeck. Machine learning techniques to assess the performance of a gait analysis system. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 419-424, April 2014. Keyword(s): GAIMS, Feet, Machine learning. [bibtex-entry]


  15. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Using gait measuring system (GAIMS) to discriminate patients with multiple sclerosis from healthy persons. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [bibtex-entry]


  16. B. Laugraud, S. Piérard, and M. Van Droogenbroeck. Metrics to evaluate binary classifiers for video background extraction: weaknesses, strengths, and perspectives. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [bibtex-entry]


  17. J. Osmalskyj, S. Piérard, M. Van Droogenbroeck, and J.-J. Embrechts. Efficient database pruning for large-scale cover song recognition. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, May 2013. Keyword(s): Song, Recognition, Million Song Dataset, Music Information Retrieval, Chromas, Rejectors, Cover Songs. [bibtex-entry]


  18. R. Phan-Ba, G. Delrue, S. Piérard, E. Lommers, P. Calay, M. Van Droogenbroeck, and V. Delvaux. Influence of the mode of walk on walking speed in multiple sclerosis: are you walking comfortably?. In Twenty-third meeting of the European Neurological Society, Barcelona, Spain, June 2013. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Walking speed. [bibtex-entry]


  19. S. Piérard, S. Azrour, and M. Van Droogenbroeck. Measuring feet trajectories: challenges and applications. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. Keyword(s): GAIMS, Feet, Tracking, Multiple sclerosis, Biometric identification. [bibtex-entry]


  20. J. Osmalskyj, J.-J. Embrechts, M. Van Droogenbroeck, and S. Piérard. Neural networks for musical chords recognition. In Journées d'informatique musicale, Mons, Belgium, pages 39-46, May 2012. Keyword(s): Chord, Recognition, Neural network, Classification. [bibtex-entry]


  21. R. Phan-Ba, S. Piérard, G. Moonen, M. Van Droogenbroeck, and S. Belachew. Deciphering distance-induced deceleration of gait and ataxia in people with multiple sclerosis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Gait deceleration, Outcome measure. [bibtex-entry]


  22. R. Phan-Ba, S. Piérard, G. Moonen, M. Van Droogenbroeck, and S. Belachew. Detection and Quantification of Efficiency and Quality of Gait Impairment in Multiple Sclerosis through Foot Path Analysis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Outcome measure. [bibtex-entry]


  23. S. Piérard, V. Pierlot, A. Lejeune, and M. Van Droogenbroeck. I-see-3D! An Interactive and Immersive System that dynamically adapts 2D projections to the location of a user's eyes. In International Conference on 3D Imaging (IC3D), Liège, Belgium, December 2012. Keyword(s): 3D, Projection, Immersion, Calibration, Pinhole, Head coupled perspective, Tracking, Kalman filtering, OpenGL, Laser, Kinect. [bibtex-entry]


  24. S. Piérard and M. Van Droogenbroeck. Estimation of human orientation based on silhouettes and machine learning principles. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 51-60, February 2012. Keyword(s): Human, Orientation, Machine learning, Regression, Estimation, MakeHuman. [bibtex-entry]


  25. S. Piérard and M. Van Droogenbroeck. On the human pose recovery based on a single view. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 310-315, February 2012. Keyword(s): Human, Silhouette, Pose, Pose recovery, Pose estimation. [bibtex-entry]


  26. A. Lejeune, S. Piérard, M. Van Droogenbroeck, and J. Verly. A new jump edge detection method for 3D cameras. In International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-7, December 2011. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Edge, Edge detection, Canny, Kinect. [bibtex-entry]


  27. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. A probabilistic pixel-based approach to detect humans in video streams. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, pages 921-924, May 2011. Keyword(s): Human, Detection, Silhouette, Background subtraction. [bibtex-entry]


  28. S. Piérard, D. Leroy, J.-F. Hansen, and M. Van Droogenbroeck. Estimation of human orientation in images captured with a range camera. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 6915 of Lecture Notes in Computer Science, pages 519-530, 2011. Springer. Keyword(s): Human, Orientation, Depth, Range camera, Machine learning, MakeHuman. [bibtex-entry]


  29. S. Piérard, M. Van Droogenbroeck, R. Phan-Ba, and S. Belachew. A new low-cost and non-intrusive feet tracker. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, November 2011. Keyword(s): GAIMS, Human, Feet, Walking, Laser, Measure, Path, Range laser, Multiple Sclerosis. [bibtex-entry]


  30. M. Van Droogenbroeck and S. Piérard. Object descriptors based on a list of rectangles: method and algorithm. In International Symposium on Mathematical Morhology (ISMM), volume 6671 of Lecture Notes on Computer Science, Ispra, Italy, pages 155-165, 2011. Springer. Keyword(s): Algorithm, Rectangle, Opening, Mathematical morphology, Source code. [bibtex-entry]


  31. O. Barnich, S. Piérard, and M. Van Droogenbroeck. A virtual curtain for the detection of humans and access control. In Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), Part II, Sydney, Australia, pages 98-109, December 2010. Keyword(s): Detection, Human, Access control, Curtain, Silhouette, Laser, Sensor, Machine learning, Training, Door. [bibtex-entry]


  32. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. 3D information is valuable for the detection of humans in video streams. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, December 2010. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Human, Detection, MakeHuman. [bibtex-entry]


  33. S. Piérard, V. Pierlot, O. Barnich, M. Van Droogenbroeck, and J. Verly. A platform for the fast interpretation of movements and localization of users in 3D applications driven by a range camera. In 3DTV Conference, Tampere, Finland, June 2010. Keyword(s): 3D, Localization, Laser, Camera. [bibtex-entry]


  34. J. Leens, S. Piérard, O. Barnich, M. Van Droogenbroeck, and J.-M. Wagner. Combining Color, Depth, and Motion for Video Segmentation. In Computer Vision Systems, volume 5815 of Lecture Notes in Computer Science, pages 104-113, 2009. Springer. Keyword(s): Range, 3D, Distance, ToF camera, Motion, Segmentation. [bibtex-entry]


  35. S. Piérard, J. Leens, and M. Van Droogenbroeck. Real-time processing of depth and color video streams to improve the reliability of depth maps. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, November 2009. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Background subtraction, Motion detection, Segmentation. [bibtex-entry]


  36. S. Piérard and M. Van Droogenbroeck. A technique for building databases of annotated and realistic human silhouettes based on an avatar. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 243-246, November 2009. Keyword(s): Human, Silhouette, Avatar, Database, Annotation, Body, MakeHuman. [bibtex-entry]


  37. S. Piérard and M. Van Droogenbroeck. Techniques to improve the foreground segmentation with a 3D camera and a color camera. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 247-250, November 2009. Keyword(s): 3D, Acquisition, Range, Calibration, Foreground segmentation, Background extraction, ToF camera, Distance. [bibtex-entry]


Miscellaneous
  1. M. Van Droogenbroeck, M. Braham, and S. Piérard. Foreground and background detection method. European Patent Office, EP 3438929 B2, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  2. M. Van Droogenbroeck, M. Braham, and S. Piérard. Foreground and background detection method. United States Patent and Trademark Office, US 10614736 B2, 16 pages, April 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  3. M. Van Droogenbroeck, M. Braham, and S. Piérard. Foreground and background detection method. Chinese Patent Office, CN109389618A, February 2019. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  4. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. Recognition of emotions in facial images. Internal report, March 2012. Keyword(s): Face, Facial image, Emotion, Classification. [bibtex-entry]


  5. S. Piérard. Génération automatique d'une base de données de silhouettes humaines au moyen d'un avatar humain tridimensionnel. Master's thesis, University of Liège, Belgium, 2007. Keyword(s): Infographie, Silhouette, Avatar, TFE. [bibtex-entry]



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Last modified: Tue Jul 14 12:42:55 2020