Object tracking based on particle filter with discriminative features-Reference-Cited by-同舟云学术

Object tracking based on particle filter with discriminative features

Published:2013-01-10 Issue:1 Volume:11 Page:42-53
ISSN:1672-6340
Container-title:Journal of Control Theory and Applications
language:en
Short-container-title:J. Control Theory Appl.

Author:

Zhao Yunji,Pei Hailong

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Hardware and Architecture,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11768-013-1088-0.pdf

Reference29 articles.

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3. D. Comaniciu, V. Ramesh, P. Meer. Real-time tracking of non-rigid objects using mean shift. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA: IEEE Computer Society, 2000: 142–149.

4. R. T. Collins. Mean-shift blob tracking through scale space. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA: IEEE Computer Society, 2003: 230–240.

5. D. Comaniciu, V. Ramesh, P. Meer. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564–575.

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