Proceedings Paper
Robust object tracking using camshift with multicue integration| Format | Member Price | Non-Member Price |
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Paper Abstract
Multi-cue-based Camshift algorithm is presented for object tracking in complex scenes. Because color-based
Camshift algorithm suffers from objects with color clutter in backgrounds, this paper integrates motion cue with color
cue to extend its application areas. Moreover, the robust real-time multiresolution algorithm is used to obtain motion
information in dynamic background. Experimental work verifies that the proposed multiple cues strategy really improves
the tracking performance of the classical Camshift using a single cue.
Paper Details
Date Published: 13 January 2012
PDF: 7 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834915 (13 January 2012); doi: 10.1117/12.920208
Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)
PDF: 7 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834915 (13 January 2012); doi: 10.1117/12.920208
Show Author Affiliations
Yang-jun Zhong, Jiangxi Univ. of Science and Technology (China)
Shui-ping Zhang, Jiangxi Univ. of Science and Technology (China)
Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)
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