Reference : 3D information is valuable for the detection of humans in video streams

	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/2268/78843

Title :	3D information is valuable for the detection of humans in video streams
Language :	English
Author, co-author :	Pierard, Sébastien [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 [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
Publication date :	Dec-2010
Main document title :	3D Stereo Media
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	3D Stereo MEDIA
Event date :	12-2010
Keywords :	[en] 3D ; Depth ; Range ; Camera ; Human ; Detection ; Person ; Descriptor ; Shape
Abstract :	[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.
Research units :	Intelsig
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/2268/78843
Other URL :	http://en.wikipedia.org/wiki/MakeHuman
Commentary :	See the MakeHuman wikipedia page: http://en.wikipedia.org/wiki/MakeHuman

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access Pierard20103DInformation.pdf 3D information is valuable for the detection of humans in video streams Author postprint 972.45 kB View/Open

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