-
Carlos Alberto Gomez Gonzalez,
Olivier Wertz,
Olivier Absil,
Valentin Christiaens,
Denis Defrère,
Dimitri Mawet,
Julien Milli,
Pierre-Antoine Absil,
Marc Van Droogenbroeck,
Faustine Cantalloube,
Philip M. Hinz,
Andrew J. Skemer,
Mikael Karlsson,
and Jean Surdej.
VIP: Vortex Image Processing package for high-contrast direct imaging.
The Astronomical Journal,
154(1):7:1-7:12,
July 2017.
Keyword(s): Exoplanet,
High-contrast imaging,
Vortex,
VIP.
@article{Gomez2017VIP,
title = {{VIP}: {V}ortex {I}mage {P}rocessing package for high-contrast direct imaging},
author = {Gomez Gonzalez, Carlos Alberto and Wertz, Olivier and Absil, Olivier and Christiaens, Valentin and Defr{\`e}re, Denis and Mawet, Dimitri and Milli, Julien and Absil, Pierre-Antoine and Van Droogenbroeck, Marc and Cantalloube, Faustine and Hinz, Philip M. and Skemer, Andrew J. and Karlsson, Mikael and Surdej, Jean},
journal = {The Astronomical Journal},
volume = {154},
number = {1},
pages = {7:1-7:12},
month = {July},
year = {2017},
keywords = {Exoplanet, High-contrast imaging, Vortex, VIP},
doi = {10.3847/1538-3881/aa73d7},
url = {http://hdl.handle.net/2268/212229},
pdf = {http://orbi.ulg.ac.be/bitstream/2268/212229/1/vip_paper.pdf}
}
-
Philippe Latour and Marc Van Droogenbroeck.
The LNQ25 and ELN PVT Metrics Exhibit a Good Sensitivity to Sleep Deprivation and are Independent from the Subject.
Sleep Medicine,
40:178-179,
December 2017.
Keyword(s): PVT metrics,
Metrics,
Drowsiness,
Automatic alertness monitoring,
Fatigue management.
@article{Latour2017TheLNQ25,
title = {The {LNQ25} and {ELN PVT} Metrics Exhibit a Good Sensitivity to Sleep Deprivation and are Independent from the Subject},
author = {Latour, Philippe and {Van Droogenbroeck}, Marc},
journal = {Sleep Medicine},
volume = {40},
pages = {178-179},
year = {2017},
month = {December},
keywords = {PVT metrics, Metrics, Drowsiness, Automatic alertness monitoring, Fatigue management},
doi = {10.1016/j.sleep.2017.11.523},
url = {http://hdl.handle.net/2268/214824}
}
-
Benjamin Laugraud,
Sébastien Piérard,
and Marc 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.
@article{Laugraud2017LaBGen,
title = {{LaBGen}: A Method Based on Motion Detection for Generating the Background of a Scene},
author = {Laugraud, Benjamin and Pi{\'e}rard, S\'ebastien and {Van Droogenbroeck}, Marc},
journal = {Pattern Recognition Letters},
publisher = {Elsevier},
volume = {96},
year = {2017},
pages = {12-21},
year = {2017},
keywords = {LaBGen, Background initialization, Background generation, Background subtraction, SBMI dataset, SBMC contest},
doi = {10.1016/j.patrec.2016.11.022},
url = {http://hdl.handle.net/2268/203572}
}
-
Samir Azrour,
Sébastien Piérard,
Pierre Geurts,
and Marc 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.
@inproceedings{Azrour2017ATwoStep,
title = {A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically},
author = {Azrour, Samir and Pi{\'e}rard, S{\'e}bastien and Geurts, Pierre and {Van Droogenbroeck}, Marc},
booktitle = {Advanced Concepts for Intelligent Vision Systems (ACIVS)},
series = {Lecture Notes in Computer Science},
volume = {10617},
pages = {3-14},
year = {2017},
keywords = {Pose estimation, Orientation estimation},
doi = {10.1007/978-3-319-70353-4_1},
url = {http://hdl.handle.net/2268/214238},
pdf = {http://orbi.ulg.ac.be/bitstream/2268/214238/1/Azrour2017ATwoStep.pdf}
}
-
Marc Braham,
Sébastien Piérard,
and Marc 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.
@inproceedings{Braham2017Semantic,
title = {Semantic Background Subtraction},
author = {Braham, Marc and Pi\'erard, S\'ebastien and {Van Droogenbroeck}, Marc},
booktitle = {IEEE International Conference on Image Processing},
year = {2017},
month = {September},
pages = {4552-4556},
address = {Beijing, China},
keywords = {Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014},
doi = {10.1109/ICIP.2017.8297144},
url = {http://www.telecom.ulg.ac.be/publi/publications/braham/Braham2017Semantic},
pdf = {http://orbi.ulg.ac.be/bitstream/2268/213419/1/Braham2017Semantic.pdf}
}
-
Philippe Latour and Marc Van Droogenbroeck.
New PVT Metrics with Improved Sensitivity to Sleep Loss: Analysis from Short to Long Time Intervals.
In Managing Fatigue,
San Diego, California, USA,
March 2017.
Keyword(s): PVT metrics,
Fatigue,
Sleep,
Sleep deprivation,
Drowsiness,
Sleepiness.
@inproceedings{Latour2017NewPVTMetrics,
title = {New {PVT} Metrics with Improved Sensitivity to Sleep Loss: Analysis from Short to Long Time Intervals},
author = {Latour, Philippe and {Van Droogenbroeck}, Marc},
booktitle = {Managing Fatigue},
year = {2017},
month = Mar,
address = {San Diego, California, USA},
keywords = {PVT metrics, Fatigue, Sleep, Sleep deprivation, Drowsiness, Sleepiness},
url = {http://hdl.handle.net/2268/203874}
}
-
Benjamin Laugraud and Marc Van Droogenbroeck.
Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen?.
In Advanced Concepts for Intelligent Vision Systems (ACIVS),
volume 10617 of Lecture Notes in Computer Science,
pages 443-454,
2017.
Keyword(s): Background generation,
Background initialization,
Background subtraction,
Optical flow,
Motion detection,
Median filter,
SBI dataset,
SBMnet dataset,
LaBGen,
LaBGen-OF.
@inproceedings{Laugraud2017IsAMemoryless,
title = {Is a Memoryless Motion Detection Truly Relevant for Background Generation with {LaBGen}?},
author = {Laugraud, Benjamin and {Van Droogenbroeck}, Marc},
booktitle = {Advanced Concepts for Intelligent Vision Systems (ACIVS)},
series = {Lecture Notes in Computer Science},
volume = {10617},
pages = {443-454},
year = {2017},
keywords = {Background generation, Background initialization, Background subtraction, Optical flow, Motion detection, Median filter, SBI dataset, SBMnet dataset, LaBGen, LaBGen-OF},
doi = {10.1007/978-3-319-70353-4_38},
pdf = {http://orbi.ulg.ac.be/bitstream/2268/213147/1/Laugraud2017IsAMemoryless.pdf},
url = {http://hdl.handle.net/2268/213147}
}