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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20265

Title: Dynamic segment-based sparse feature-point matching in articulate motion
Authors: Li, Baihua
Holstein, Horst
Issue Date: 2002
Publisher: © IEEE
Citation: LI, B. and HOLSTEIN, H., 2002. Dynamic segment-based sparse feature-point matching in articulate motion. IN: IEEE International Conference on Systems, Man and Cybernetics: Conference Proceedings, Yasmine Hammamet - Tunisia, 6th-9th October, Vol. 4, pp.672-677
Abstract: We propose an algorithm for identifying articulated motion. The motion is represented by a sequence of 3D sparse feature-point data. The algorithm emphasizes a self-initializing identification phase for each uninterrupted data sequence, typically at the beginning or on resumption of tracking. We combine a dynamic segment-based hierarchial identification with a inter-frame tracking strategy for efficiency and robustness. We have tested the algorithm successfully using human motion data obtained from a marker-based optical motion capture (MoCap) system.
Description: This is the accepted manuscript version of the paper. © 2002 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/ICSMC.2002.1173367
URI: https://dspace.lboro.ac.uk/2134/20265
Publisher Link: http://dx.doi.org/10.1109/ICSMC.2002.1173367
ISBN: 0780374371
ISSN: 1062-922X
Appears in Collections:Conference Papers and Presentations (Computer Science)

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