Acta Optica Sinica, Volume. 38, Issue 2, 0204004(2018)
Infrared Dim-Small Target Tracking Based on Guided Image Filtering and Kernelized Correlation Filtering
To solve the problem that the traditional tracking algorithm cannot be used to effectively distinguish the image edges from the infrared dim-small targets, an improved infrared dim-small target tracking algorithm based on guided image filtering and kernelized correlation filtering (KCF) is proposed. Six groups of infrared dim-small target image array are adopted in the experiment, the obtained results are compared with that by the classical tracking algorithms. The experimental results indicate that the proposed algorithm has a better performance than the traditional algorithms on both subjective view and objective evaluating indicators, and the proposed algorithm possesses a higher tracking accuracy and a better real time performance.
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Dong Zhao, Huixin Zhou, Hanlin Qin, Kun Qian, Shenghui Rong, Kuanhong Cheng, Shangzhen Song. Infrared Dim-Small Target Tracking Based on Guided Image Filtering and Kernelized Correlation Filtering[J]. Acta Optica Sinica, 2018, 38(2): 0204004
Category: Detectors
Received: Jul. 3, 2017
Accepted: --
Published Online: Aug. 30, 2018
The Author Email: Zhou Huixin (hxzhou@xidian.edu.cn)