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Proceedings Paper

Small and dim target detection by background modeling
Author(s): Jing Hu; Yi Yu; Fan Liu
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Paper Abstract

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.

Paper Details

Date Published: 2 September 2015
PDF: 10 pages
Proc. SPIE 9596, Signal and Data Processing of Small Targets 2015, 959604 (2 September 2015); doi: 10.1117/12.2186527
Show Author Affiliations
Jing Hu, Huazhong Univ. of Science and Technology (China)
Yi Yu, Huazhong Univ. of Science and Technology (China)
Fan Liu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9596:
Signal and Data Processing of Small Targets 2015
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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