DocumentCode :
3549229
Title :
Tracking multiple objects through occlusions
Author :
Huang, Yan ; Essa, Irfan
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
2
fYear :
2005
fDate :
20-25 June 2005
Abstract :
Visual tracking of multiple objects with continuous interactions is important for many applications such as surveillance and effective user interfaces. Complex interactions between objects results in both temporally and spatially significant occlusions, making multi-object tracking a challenging problem. We present an approach for tracking varying number of objects through significant occlusions. Our approach builds on the idea of object permanence. That is, partially or fully occluded objects, even though not observable, still exist in the close proximity of their occluders. To demonstrate the viability of this approach, we have concentrated on tracking hands and objects as a person interacts with multiple objects on a desktop. We experimented with 5 indoor video sequences and present the results of two representative ones: lego sequence and shell game.
Keywords :
hidden feature removal; image sequences; object detection; optical tracking; video signal processing; hand tracking; indoor video sequences; lego sequence; multiple object visual tracking; occlusions; shell game; surveillance; user interfaces; Computer interfaces; Constraint optimization; Educational institutions; Games; Genetic algorithms; Intrusion detection; Prototypes; Surveillance; User interfaces; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.351
Filename :
1467581
Link To Document :
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