19 February 2018 Complex background suppression using global-local registration strategy for the detection of small-moving target on moving platform
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Proceedings Volume 10608, MIPPR 2017: Automatic Target Recognition and Navigation; 106080G (2018) https://doi.org/10.1117/12.2285155
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
Abstract
Target detection is a very important and basic problem of computer vision and image processing. The most often case we meet in real world is a detection task for a moving-small target on moving platform. The commonly used methods, such as Registration-based suppression, can hardly achieve a desired result. To crack this hard nut, we introduce a Global-local registration based suppression method. Differ from the traditional ones, the proposed Global-local Registration Strategy consider both the global consistency and the local diversity of the background, obtain a better performance than normal background suppression methods. In this paper, we first discussed the features about the small-moving target detection on unstable platform. Then we introduced a new strategy and conducted an experiment to confirm its noisy stability. In the end, we confirmed the background suppression method based on global-local registration strategy has a better perform in moving target detection on moving platform.
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Tianhao Zou, Zhengrong Zuo, "Complex background suppression using global-local registration strategy for the detection of small-moving target on moving platform", Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 106080G (19 February 2018); doi: 10.1117/12.2285155; https://doi.org/10.1117/12.2285155
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