Infrared moving point target detection based on an anisotropic spatial-temporal fourth-order diffusion filter. (May 2018)

• Record Type: Journal Article
• Authors: Zhu, Hu; Guan, Yusheng; Deng, Lizhen; Li, Yansheng; Li, Yujie
• Is Part Of: Computers & electrical engineering. Volume 68(2018)
• Page Start: 550
• Page End: 556
• Publication Date: 2018-05
• Subjects: Infrared moving point target -- Detection -- Anisotropic -- Spatial-temporal fourth-order diffusion filter -- Background prediction; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2018.05.009
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: Infrared moving point target detection is a challenging task in infrared tracking systems. In this paper, an anisotropic spatial-temporal fourth-order diffusion filter (ASTFDF) is proposed for background prediction from infrared frame images. Using it, we can detect infrared point targets by subtracting the predicted background from the original image. Experiments in detecting targets from several different infrared image frame sequences indicated that the proposed ASTFDF can predict the background effectively and that the target can be detected precisely while achieving a higher background suppression factor (BSF) and signal-to-clutter ratio gain (SCRG) compared with state-of-the-art methods.