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Small Target Detection Using Cross Product Based on Temporal Profile in Infrared Image Sequences  

Kim, Byoung-Ik (경북대학교 전자전기컴퓨터학부 오디오비디오시스템 연구실)
Bea, Tea-Wuk (경북대학교 전자전기컴퓨터학부 오디오비디오시스템 연구실)
Kim, Young-Choon (영동대학교 정보통신사이버경찰학과)
Ahn, Sang-Ho (인제대학교 전자지능로봇공학과)
Kim, Duk-Gyoo (경북대학교 전자전기컴퓨터학부 오디오비디오시스템 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.1C, 2010 , pp. 8-16 More about this Journal
Abstract
This paper presents a new small target detection method using the cross product of the temporal pixels based on the temporal profile in infrared (IR) image sequences. The temporal characteristics of small targets and the various backgrounds are different. A new algorithm classifies target pixels and the background pixels through the hypothesis testing using the cross product of pixels on the temporal profile and predicts the temporal backgrounds based on the results. The small targets are detected by subtracting the predicted temporal background profile from the original temporal profile. For the performance comparison between the proposed algorithm and the conventional algorithms, the receiver operating characteristics (ROC) curves is computed in experiment. Experimental results show that the proposed algorithm has better discrimination and a lower false alarm rate than the conventional methods.
Keywords
Infrared Sequences; Small Target Detection; Temporal Profile; Hypothesis Testing;
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