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Proceedings Paper

Independent moving target detection for aerial video surveillance
Author(s): Dong Xu; Jinwen An
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Paper Abstract

Due to complexities faced in the task of independent moving target detection from an airborne moving platform, simple methods like image stabilization followed by temporal differencing or change detection cannot be properly used unless distracting factors like 3D parallax motions, ego-motion compensation errors and image noise have been well disposed of. Instead of trying efforts to reduce these distractions, we proposed an attribute based salient extrema detection algorithm to extract the most salient extrema as targets from the residual motion image. Without the need for image filtering, the independent moving targets can be efficiently detected by valuating extrema saliency with respect to different morphological attributes. Experimental results show the effectiveness and flexibility of our algorithm.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59853Q (4 January 2006); doi: 10.1117/12.658207
Show Author Affiliations
Dong Xu, Northwestern Polytechnical Univ. (China)
Jinwen An, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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