Two-Hand Gesture Recognition using Coupled Switching Linear Model

Authors:
Mun Ho Jeong;Yoshinori Kuno;Nobutaka Shimada;Yoshiaki Shirai
Affiliations:
-;-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Year:
2002

Citing 0
Cited 2

Vision based data fusion for autonomous vehicles target tracking using interacting multiple dynamic models

Computer Vision and Image Understanding
Hand gesture recognition supported by fuzzy rules and Kalman filters

International Journal of Intelligent Information and Database Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 proposedmodel to tracking and recognizing two-hand gestures.