DocumentCode :
457119
Title :
Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment
Author :
Osawa, Tatsuya ; Wu, Xiaojun ; Wakabayashi, Kaoru ; Yasuno, Takayuki
Author_Institution :
NTT Cyber Space Labs., NTT Corp., Yokosuka
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
25
Lastpage :
28
Abstract :
This work presents a new approach based on particle filtering to directly estimate the 3D positions of humans. Our system can predict occlusions due to other movements because we track humans in a 3D space, not on a 2D image plane. In addition, we introduce a 3D environmental model as the background model for tracking. This makes it easier to handle occlusions due to fixed objects in the environment. The 3D environmental model is automatically constructed by our original method from video sequences. Experiments show that our system is stable under occlusions due to the movements of both other subjects and fixed objects
Keywords :
image sequences; particle filtering (numerical methods); target tracking; video signal processing; 3D environmental model; 3D space; human tracking; occlusions; particle filtering; video sequences; Cameras; Filtering; Humans; Image reconstruction; Image sequences; Particle tracking; Security; Surveillance; Target tracking; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.641
Filename :
1699140
Link To Document :
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