DocumentCode :
2398698
Title :
The Kneed Walker for human pose tracking
Author :
Brubaker, Marcus A. ; Fleet, David J.
Author_Institution :
Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
The Kneed Walker is a physics-based model derived from a planar biomechanical characterization of human locomotion. By controlling torques at the knees, hips and torso, the model captures a full range of walking motions with foot contact and balance. Constraints are used to properly handle ground collisions and joint limits. A prior density over walking motions is based on dynamics that are optimized for efficient cyclic gaits over a wide range of natural human walking speeds and step lengths, on different slopes. The generative model used for monocular tracking comprises the Kneed Walker prior, a 3D kinematic model constrained to be consistent with the underlying dynamics, and a simple measurement model in terms of appearance and optical flow. The tracker is applied to people walking with varying speeds, on hills, and with occlusion.
Keywords :
gait analysis; motion estimation; pose estimation; 3D kinematic model; Kneed Walker; human locomotion; human pose tracking; occlusion; physics-based model; planar biomechanical characterization; torque control; Fluid flow measurement; Foot; Hip; Humans; Kinematics; Knee; Legged locomotion; Motion control; Torque control; Torso;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
1063-6919
Print_ISBN :
978-1-4244-2242-5
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2008.4587546
Filename :
4587546
Link To Document :
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