2 September 2015 Small and dim target detection by background modeling
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An effective method for small and dim moving target detection in complicated background is proposed. The proposed approach takes advantage of the Non-local means filter, and applies a novel weight calculation model based on circular mask to the original background estimation pattern. By associating similarity of grayscale distribution of the images with temporal information, the extended method realize the complicated background estimation and point target extraction successfully. To compare existing target detection methods and the proposed method, signal-to-clutter ratio gain (SCRG) and background suppression factor (BSF) are employed for spatial performance comparison and receiver operating characteristics (ROC) is used for detection-performance comparison of the target trajectory. Experimental results demonstrate good performance of the proposed method in complicated scenes and low signal to noise ratio images.
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Jing Hu, Jing Hu, Yi Yu, Yi Yu, Fan Liu, Fan Liu, } "Small and dim target detection by background modeling", Proc. SPIE 9596, Signal and Data Processing of Small Targets 2015, 959604 (2 September 2015); doi: 10.1117/12.2186527; https://doi.org/10.1117/12.2186527

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