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Two-Hand Gesture Recognition Using Coupled Switching Linear Model
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104799316th International Conference on Patt ...
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Mun Ho Jeong, Osaka University
Yoshinori Kuno, Saitama University
Nobutaka Shimada, Osaka University
Yoshiaki Shirai, Osaka University
We present a method coupling multiple switching linear models. The coupled switching linear model is an interactive process of two switching linear models. Coupling is given through causal influence between their hidden discrete states. The parameters of this model are learned via EM algorithm. Tracking is performed through the coupled-forward algorithm based on Kalman filtering and a collapsing method. A model with maximum likelihood is selected out of a few learned models during tracking. We demonstrate the application of the proposed model to tracking and recognizing two-hand gestures.
Citation:
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yoshiaki Shirai, "Two-Hand Gesture Recognition Using Coupled Switching Linear Model," icpr, vol. 3, pp.30529, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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