Multilevel thresholding and confidence testing detection algorithm for small moving target in image sequences

HuaMing Chen; Guangfu Sun; Huanzhang Lu; Chang Qing

doi:10.1117/12.492807

26 November 2001 Multilevel thresholding and confidence testing detection algorithm for small moving target in image sequences

HuaMing Chen, Guangfu Sun, Huanzhang Lu, Chang Qing

Author Affiliations +

Proceedings Volume 4473, Signal and Data Processing of Small Targets 2001; (2001) https://doi.org/10.1117/12.492807
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

HuaMing Chen, Guangfu Sun, Huanzhang Lu, and Chang Qing "Multilevel thresholding and confidence testing detection algorithm for small moving target in image sequences", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492807

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