DocumentCode :
383442
Title :
Model-based human body tracking
Author :
Yu Huang ; Huang, Thomas S.
Author_Institution :
Beckman Inst., Illinois Univ., Urbana, IL, USA
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
552
Abstract :
Visual tracking of human body movement is a key technology in a number of areas. We present a 2-D model-based method of human body tracking from a monocular video sequence. Morris and Rehg (1998) put forward a 2-D scaled prismatic model for figure registration which has far fewer singularity problems than 3-D models. Here we extend it in a 2-D cardboard human body model with one additional DOF of width change. We set tip a mixture motion model for body movements and then solve body motion parameters using EM in a statistical framework, where the model-based kinematic constraints are incorporated in a linear form. Tracking results from real video sequences are encouraging.
Keywords :
image sequences; kinematics; motion estimation; parameter estimation; tracking; 2D cardboard human body model; 2D model-based method; 2D scaled prismatic model; expectation-maximization; figure registration; mixture motion model; model-based human body tracking; monocular video sequence; visual tracking; width change; Application software; Biological system modeling; Cameras; Computer vision; Humans; Kinematics; Parameter estimation; Scanning probe microscopy; Target tracking; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1044791
Filename :
1044791
Link To Document :
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