Li-SMC02.pdf (214.87 kB)
Dynamic segment-based sparse feature-point matching in articulate motion
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.
History
School
- Science
Department
- Computer Science
Published in
Proceedings of the IEEE International Conference on Systems, Man and CyberneticsVolume
4Pages
672 - 677Citation
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.672-677Publisher
© IEEEVersion
- AM (Accepted Manuscript)
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
2002Notes
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.ISBN
0780374371ISSN
1062-922XPublisher version
Language
- en