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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20281

Title: Articulated point pattern matching in optical motion capture systems
Authors: Li, Baihua
Holstein, Horst
Meng, Qinggang
Issue Date: 2002
Publisher: IEEE
Citation: LI, B., MENG, Q. and HOLSTEIN, H., 2002. Articulated point pattern matching in optical motion capture systems. Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, 2nd-5th December, vol. 1, pp.298-303
Abstract: Tracking and identifying articulated objects have received growing attention in computer vision in the past decade. In marker-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.
Description: This paper is closed access.
Version: Closed access
DOI: 10.1109/ICARCV.2002.1234837
URI: https://dspace.lboro.ac.uk/2134/20281
Publisher Link: http://dx.doi.org/10.1109/ICARCV.2002.1234837
ISBN: 9810474806
Appears in Collections:Closed Access (Computer Science)

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