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Articulated point pattern matching in optical motion capture systems

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3 Author(s)
Li, B. ; Dept. of Comput. Sci., Univ. of Wales, Aberystwyth, UK ; Holstein, H. ; Qinggang Meng

Tracking and identifying articulated objects have received growing attention in computer vision in the past decade. In market-based optical motion capture (MoCap) systems, an articulated movement of near-rigid segments is represented via a sequence of moving dots of known 3D coordinates, corresponding to the captured marker positions. We propose a segment-based articulated model-fitting algorithm to address the problem of self-initializing identification and pose estimation utilizing one frame of data in such point-feature tracking systems. It is ultimately crucial for recovering the complete motion sequence. Experimental results, based on synthetic pose and real-world human motion capture data, demonstrate the performance of the algorithm.

Published in:

Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on  (Volume:1 )

Date of Conference:

2-5 Dec. 2002