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CVPR
1996
IEEE

3-D model-based tracking of humans in action: a multi-view approach

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3-D model-based tracking of humans in action: a multi-view approach
We present a vision system for the 3-D modelbased tracking of unconstrained human movement. Using image sequences acquired simultaneously from multiple views, we recover the 3-D body pose at each time instant without the use of markers. The poserecovery problem is formulated as a search problem and entails nding the pose parameters of a graphical human model whose synthesized appearance is most similar to the actual appearance of the real human in the multi-view images. The models used for this purpose are acquired from the images. We use a decomposition approach and a best- rst technique to search through the high dimensional pose parameter space. A robust variant of chamfer matching is used as a fast similarity measure between synthesized and real edge images. We present initial tracking results from a large new Humans-In-Action (HIA) database containing more than 2500 frames in each of four orthogonal views. They contain subjects involved in a variety of activities, of various degr...
Dariu Gavrila, Larry S. Davis
Added 07 Aug 2010
Updated 07 Aug 2010
Type Conference
Year 1996
Where CVPR
Authors Dariu Gavrila, Larry S. Davis
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