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Proceedings Paper

Infrared dim and small target tracking method incorporating statistical characteristics
Author(s): Tao Zhang; Hongwei Guo
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Paper Abstract

This paper first studies motion-related data driven tracking methods and analyzes their insufficiency and applications, then introduces the idea of Mean Shift and constructs kernel probability density based target model in accordance with statistical characteristics of infrared dim and small target in terms of statistical characteristics based difference between the infrared dim and small target and noise, and finally explores key problems such as target template extracting from tracking infrared dim and small target, tracking location determination and target model updating. The experiment results have shown that this motion-related based tracking method incorporating target gray scale statistical characteristics achieves effective combination of two tracking patterns by integrating advantages of both and thus significantly improves accuracy of tracking infrared dim and small target.

Paper Details

Date Published: 1 November 2016
PDF: 9 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 1015725 (1 November 2016); doi: 10.1117/12.2246757
Show Author Affiliations
Tao Zhang, Yunnan Observatory (China)
Hongwei Guo, Honghe Univ. (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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