Paper
4 January 2006 Independent moving target detection for aerial video surveillance
Dong Xu, Jinwen An
Author Affiliations +
Proceedings Volume 5985, International Conference on Space Information Technology; 59853Q (2006) https://doi.org/10.1117/12.658207
Event: International Conference on Space information Technology, 2005, Wuhan, China
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dong Xu and Jinwen An "Independent moving target detection for aerial video surveillance", Proc. SPIE 5985, International Conference on Space Information Technology, 59853Q (4 January 2006); https://doi.org/10.1117/12.658207
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Cited by 1 scholarly publication.
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KEYWORDS
Target detection

Detection and tracking algorithms

Motion models

Video surveillance

Computer simulations

Image filtering

Surveillance

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