A real-time target detection and false alarm decreasing algorithm for wide field of view infrared surveillance system

Weihua Wang; Gang Sun; Yan He; Zengping Chen

doi:10.1117/12.2031379

26 October 2013 A real-time target detection and false alarm decreasing algorithm for wide field of view infrared surveillance system

Weihua Wang, Gang Sun, Yan He, Zengping Chen

Author Affiliations +

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 891807 (2013) https://doi.org/10.1117/12.2031379
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

With regard to target detection in complex background in high resolution image sequences attained by Wide Field of View Infrared Surveillance System, a rough-to-meticulous real-time target detection algorithm is proposed. In the rough detection phase, it attains initial high rate target detection by background matching and frame difference algorithm, based on the gray high frequency and moving characteristics of the target in the wide field of view image. In the meticulous recognition phase, focusing on the detected suspected target sliced images, it has further delicate recognition on the basis of targets’ characteristics to exclude those false jamming. The detection result of the test images shows, the algorithm enables stable detection with low-rate false alarm for distant dim targets, and has been applied to the signal processing of the Wide Field of View Infrared Surveillance System.

Citation Download Citation

Weihua Wang, Gang Sun, Yan He, and Zengping Chen "A real-time target detection and false alarm decreasing algorithm for wide field of view infrared surveillance system", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891807 (26 October 2013); https://doi.org/10.1117/12.2031379

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