Spatio-Temporal Saliency Fusion Based Small Infrared Moving Target Detection Under Sea-Sky Background

Li Shaoyi; Wang Xiaotian; Zhang Kai; Niu Saisai; Zou Yijun

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자료유형: 학술대회자료

저자정보: Li Shaoyi (Northwestern Polytechnical University) Wang Xiaotian (Northwestern Polytechnical University) Zhang Kai (Northwestern Polytechnical University) Niu Saisai (Shanghai Aerospacand and Control Technology Institute) Zou Yijun (Northwestern Polytechnical University)

저널정보: 제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2019

발행연도: 2019.10

수록면: 1,492 - 1,497 (6page)

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Small infrared moving target detection has an important role in the sea-based infrared search and tracking, maritime area surveillance and other applications. This method aims to detect the small infrared moving targets with the sea-sky background. The present study proposes a detection algorithm for small infrared targets based on the spatio-temporal saliency fusion. The contourlet analysis and edge extraction are carried out in the concurrent design. In order to effectively suppress the background and improve the target signal-clutter ratio, the spectral residual method is combined with the abovementioned methods to reconstruct the target fusion saliency image. Then the target motion region is estimated based on the optical flow method for the fusion saliency image and it is matched with the target area of interest to achieve the moving target detection. Moreover, the pipeline filtering is introduced to achieve the target confirmation by multi-frame judgment, reduce false alarm rate and complete the moving target detection for the infrared image sequence. Experimental results show that the proposed algorithm can achieve continuous target detection and have a higher detection precision via real long wave infrared image sequences.

#infrared search and track #small infrared target detection #spatio-temporal fusion saliency #signal-clutter ratio #pipeline filtering

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