A novel infrared object detection method based on the generalized cumulative sum in IRST system

Yuexin Tian; Kun Gao; Ying Liu; Qi Bin; Zhigao Xu

doi:10.1117/12.2036495

19 December 2013 A novel infrared object detection method based on the generalized cumulative sum in IRST system

Yuexin Tian, Kun Gao, Ying Liu, Qi Bin, Zhigao Xu

Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 90450H (2013) https://doi.org/10.1117/12.2036495
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China

Abstract

Aiming at the infrared object detection applications, a novel generalized cumulative sum processing is presented. Since in a typical IRST application system, object appearing and vanishing can be regarded as the change-point detection problem in Statistics. One of the effective solutions is the generalized cumulative sum processing (GCUSUM). Analyses are focused on the detection threshold value selection of GCUSUM algorithm and relations among the threshold value and false alarm rate, detection probability and signal-noise rate. The further researches extend a uniform band IRST system into the multiple band IRST system and improve the realization of GCUSUM algorithm. Results of theoretical analysis and simulation show that our modified algorithm has excellent object detection performance in an infrared image sequences from a real IRST system.

Citation Download Citation

Yuexin Tian, Kun Gao, Ying Liu, Qi Bin, and Zhigao Xu "A novel infrared object detection method based on the generalized cumulative sum in IRST system", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90450H (19 December 2013); https://doi.org/10.1117/12.2036495

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