Towards 3-D model-based tracking and recognition of human movement: a multi-view approach (1995)
| Venue: | In International Workshop on Automatic Face- and Gesture-Recognition. IEEE Computer Society |
| Citations: | 76 - 5 self |
BibTeX
@INPROCEEDINGS{Gavrila95towards3-d,
author = {D. M. Gavrila and L. S. Davis},
title = {Towards 3-D model-based tracking and recognition of human movement: a multi-view approach},
booktitle = {In International Workshop on Automatic Face- and Gesture-Recognition. IEEE Computer Society},
year = {1995},
pages = {272--277}
}
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Abstract
In this paper we describe our work on 3-D modelbased tracking and recognition of human movement from real images. Our system has two major components. The first component takes real image sequences acquired from multiple views and recovers the 3-D body pose at each time instant. The poserecovery problem is formulated as a search problem and entails finding the pose parameters of a graphical human model for which its synthesized appearance is most similar to the actual appearance of the real human in the multi-view images. Currently, we use a best-first search technique and chamfer matching as a fast similarity measure between synthesized and real edge images. The second component of our system deals with the representation and recognition of human movement patterns. The recognition of human movement patterns is considered as a classification problem involving the matching of a test sequence with several reference sequences representing prototypical activities. A variation of dynamic ti...
