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Proceedings Paper

Multilevel thresholding and confidence testing detection algorithm for small moving target in image sequences
Author(s): HuaMing Chen; Guangfu Sun; Huanzhang Lu; Chang Qing
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Paper Abstract

This paper describes a new method of small target detection according to the features of small moving targets. This method bases on multi-level threshold decision-making and sliding trajectory confidence testing technology. Energy accumulating, multi-level thresholding, trajectory searching and matching, and trajectory confidence testing are combined in this method. The detection resolves the contrary requirement of real-time processing, large date throughput, high detection capability in small moving target detection in IR image sequences. Experiments have been conducted, the results show that the algorithm has advantages of high detection probability, simple structure, and excellent real time performance.

Paper Details

Date Published: 26 November 2001
PDF: 10 pages
Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); doi: 10.1117/12.492807
Show Author Affiliations
HuaMing Chen, National Univ. of Defense Technology (China)
Guangfu Sun, National Univ. of Defense Technology (China)
Huanzhang Lu, National Univ. of Defense Technology (China)
Chang Qing, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 4473:
Signal and Data Processing of Small Targets 2001
Oliver E. Drummond, Editor(s)

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