Reference : 3D information is valuable for the detection of humans in video streams
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/78843
3D information is valuable for the detection of humans in video streams
English
Pierard, Sébastien mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
Lejeune, Antoine [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
Van Droogenbroeck, Marc mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
Dec-2010
3D Stereo Media
Yes
No
International
3D Stereo MEDIA
12-2010
[en] 3D ; Depth ; Range ; Camera ; Human ; Detection ; Person ; Descriptor ; Shape
[en] In this paper, we propose a technique based on 3D information (also called depth or range) for the detection of humans. First, a background subtraction technique operates to detect the silhouettes of humans and objects moving in the scene. Then, a machine learning algorithm is used to predict if a silhouette annotated with depth matches a human silhouette or not. The complete method is designed to cope with defects introduced during the segmentation step.
Results, obtained on computer generated data, show that 3D depth data is a valuable information for detecting humans in that it improves over techniques based on binary silhouettes. In our experiments, we have reached an accuracy of 99.9% thanks to the depth information.
Intelsig
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/78843
http://en.wikipedia.org/wiki/MakeHuman
See the MakeHuman wikipedia page: http://en.wikipedia.org/wiki/MakeHuman

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