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Proceedings Paper

A real-time target detection and false alarm decreasing algorithm for wide field of view infrared surveillance system
Author(s): Weihua Wang; Gang Sun; Yan He; Zengping Chen
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Paper 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.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891807 (26 October 2013); doi: 10.1117/12.2031379
Show Author Affiliations
Weihua Wang, National Univ. of Defense Technology (China)
Gang Sun, National Univ. of Defense Technology (China)
Yan He, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

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