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2002
IEEE

3D Tracking of Human Locomotion: A Tracking as Recognition Approach

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3D Tracking of Human Locomotion: A Tracking as Recognition Approach
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarchical finite state machine constructed from 3D motion capture data serves as a prior motion model. Motion templates are used as the observation model. Robustness is achieved by making inferences in the prior motion model which resolves the short-term ambiguity of the observations that may cause a regular tracking formulation to fail. Experiments show very promising results on some difficult sequences.
Tao Zhao, Ramakant Nevatia
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where ICPR
Authors Tao Zhao, Ramakant Nevatia
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