A real-time model-based human motion tracking and analysis for human computer interface systems

Authors:
Chung-Lin Huang;Chia-Ying Chung
Affiliations:
Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan;Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

Citing 15
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Abstract

This paper introduces a real-time model-based human motion tracking and analysis method for human computer interface (HCI). This method tracks and analyzes the human motion from two orthogonal views without using any markers. The motion parameters are estimated by pattern matching between the extracted human silhouette and the human model. First, the human silhouette is extracted and then the body definition parameters (BDPs) can be obtained. Second, the body animation parameters (BAPs) are estimated by a hierarchical tritree overlapping searching algorithm. To verify the performance of our method, we demonstrate different human posture sequences and use hidden Markov model (HMM) for posture recognition testing.