Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/64298
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Type: Conference paper
Title: A swarm intelligence based searching strategy for articulated 3D human body tracking
Author: Zhang, X.
Hu, W.
Wang, X.
Kong, Y.
Xie, N.
Wang, H.
Ling, H.
Maybank, S.
Citation: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010: pp.45-50
Publisher: IEEE
Publisher Place: USA
Issue Date: 2010
ISBN: 9781424470297
Conference Name: IEEE Conference on Computer Vision and Pattern Recognition Workshops (2010 : San Francisco, CA)
Statement of
Responsibility: 
Xiaoqin Zhang, Weiming Hu, Xiangyang Wang, Yu Kong, Nianhua Xie, Hanzi Wang, Haibin Ling, Steve Maybank
Abstract: This paper proposes an annealed particle swarm optimization based particle filter algorithm for articulated 3D human body tracking. In our algorithm, a sampling covariance and an annealing factor are incorporated into the velocity updating equation of particle swarm optimization (PSO). The sampling covariance and the annealing factor are initiated with appropriate values at the beginning of the PSO iteration, and `annealing' is carried out at reasonable steps. Experiments with multi-camera walking sequences from the Brown dataset show that: 1) the proposed tracker can effectively alleviate the problem of inconsistency between the image likelihood and the true model; 2) the tracker is also robust to noise and body self-occlusion.
Rights: ©2010 IEEE
DOI: 10.1109/CVPRW.2010.5543804
Appears in Collections:Aurora harvest
Computer Science publications

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