1 November 2016 Infrared dim target tracking based on guide filter and Bayes classification
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Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101573I (2016) https://doi.org/10.1117/12.2247411
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
An infrared dim and small tracking is proposed based on an explicit image filter - guided filter. The guided filter utilizes the structure in the guidance image and performs as an edge-preserving smoothing operator. The superior performance depending on the guidance image is critical advantage for target tracking. First, the guided filter can help to preserve the detail of the valuable templates and make the inaccurate ones blurry so that the tracker can distinguish the target from numerous bad templates easily. Besides, the filter can recover the content of the small target being influenced according to the guidance image, helping to alleviate the drifting problem effectively. Finally, the candidate samples are utilized to train an effective Bayes classifier to generate a robust tracker, which is easy to be implemented. Experimental results demonstrate that the presented method can track the target effectively, compared with several classical methods. Experimental results show that the proposed algorithm outperforms relative trackers in the accuracy and the robustness.
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Kun Qian, Hui-xin Zhou, Han-lin Qin, Shang-zhen Song, Dong Zhao, Bing-jian Wang, "Infrared dim target tracking based on guide filter and Bayes classification", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101573I (1 November 2016); doi: 10.1117/12.2247411; https://doi.org/10.1117/12.2247411
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