DocumentCode
2351917
Title
Recognition of human gaits
Author
Bissacco, Alessandro ; Chiuso, Alessandro ; Ma, Yi ; Soatto, Stefano
Author_Institution
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
Volume
2
fYear
2001
fDate
2001
Abstract
We pose the problem of recognizing different types of human gait in the space of dynamical systems where each gait is represented Established techniques are employed to track a kinematic model of a human body in motion, and the trajectories of the parameters are used to learn a representation of a dynamical system, which defines a gait. Various types of distance between models are then computed These computations are non trivial due to the fact that, even for the case of linear systems, the space of canonical realizations is not linear.
Keywords
computer vision; gait analysis; canonical realizations; dynamical systems; human gaits recognition; kinematic model; trajectories; Biological system modeling; Computer science; Hidden Markov models; Humans; Kinematics; Legged locomotion; Linear systems; Photometry; Tracking; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-1272-0
Type
conf
DOI
10.1109/CVPR.2001.990924
Filename
990924
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