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28 March 2022 Research on a fast infrared dim small targets detection and tracking method combining pipeline filter and kernelized correlation filter
Shuaijun Ren, Qinchao Huang, Guanglin Yuan, Yusheng Han, Fan Yang
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Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169C0 (2022) https://doi.org/10.1117/12.2627104
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
To solve the problem that infrared dim small targets are difficult to be detected and tracked under complex background,this paper proposes a method based on the fusion of Pipeline Filter and Kernelized Correlation Filter.First, preprocess the obtained image sequence to reduce the influence of complex background on target detection; then, detect dim small infrared moving targets based on Background Prediction and Pipeline Filter;Finally,track the targets by Kernelized Correlation Filter which is initialized by the obtained detection information.To deal with the interference caused by the lens moving, the target position is predicted in the process of targets tracking.The algorithm is verified by the constructed infrared dim target data set. The results show that the proposed algorithm has better robustness and realtime performance, and the tracking effect is obvious.
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Shuaijun Ren, Qinchao Huang, Guanglin Yuan, Yusheng Han, and Fan Yang "Research on a fast infrared dim small targets detection and tracking method combining pipeline filter and kernelized correlation filter", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169C0 (28 March 2022); https://doi.org/10.1117/12.2627104
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KEYWORDS
Target detection
Image filtering
Detection and tracking algorithms
Infrared imaging
Image enhancement
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