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Proceedings Paper

A target mask matrix based moving object tracking method
Author(s): Yong Zhou; Yi Li
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Paper Abstract

The tracking window used by object tracking method based on mean shift algorithm is usually regular in shape. Thus, it is inevitable to introduce some background information into object model. This problem becomes worse while the moving object is irregular in shape. Aiming at this problem, this paper proposes an improved mean shift algorithm based on target mask matrix (MSTMM). TMM is acquired through background subtraction. On the basis, a new method for building object model is proposed. Experiment results show that MSTMM algorithm succeeds in excluding the background information from object model, and the accuracy of moving object localization is improved.

Paper Details

Date Published: 28 October 2011
PDF: 5 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051E (28 October 2011); doi: 10.1117/12.906103
Show Author Affiliations
Yong Zhou, China Univ. of Mining and Technology (China)
Yi Li, China Univ. of Mining and Technology (China)

Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization
Egui Zhu, Editor(s)

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