Dynamic Models of Human Motion
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Class-Based Matching of Object Parts
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 11 - Volume 11
Hidden Markov models in biological sequence analysis
IBM Journal of Research and Development
Ongoing human action recognition with motion capture
Pattern Recognition
A real-time system for motion retrieval and interpretation
Pattern Recognition Letters
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Hidden Markov Models are widely used in forecasting the unknown sequence based on observation on outside system. In this paper, they are applied in Human Motion Recognition. With the human's silhouettes, the paper mainly deals with how to get the models of regular actions and combine them with HMM to recognize the motions of motive people. As for the localization on gray images of silhouettes, an algorithm combining silhouette contrasting and centroid tracking is put forward. The results show that the new algorithm has better performance.