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Articulated point pattern matching in optical motion capture systems

conference contribution
posted on 09.02.2016, 15:50 by Baihua LiBaihua Li, Horst Holstein, Qinggang MengQinggang Meng
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.

History

School

  • Science

Department

  • Computer Science

Published in

Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

Pages

298 - 303

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

Publisher

IEEE

Version

NA (Not Applicable or Unknown)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2002

Notes

This paper is closed access.

ISBN

9810474806

Language

en

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