光学学报, 2018, 38 (2): 0204004, 网络出版: 2018-08-30   

基于引导滤波和核相关滤波的红外弱小目标跟踪 下载: 995次

Infrared Dim-Small Target Tracking Based on Guided Image Filtering and Kernelized Correlation Filtering
作者单位
西安电子科技大学物理与光电工程学院, 陕西 西安 710071
摘要
为了解决传统跟踪算法不能有效区分背景边缘和红外弱小目标的问题,基于图像引导滤波和核相关滤波,提出了一种改进型的红外弱小目标跟踪算法。将采用6组红外弱小目标图像序列得到的实验结果与采用经典跟踪算法得到的实验结果进行了比较。实验结果表明,所提算法在主观视觉和客观评价指标方面均优于传统算法,具有更高的目标跟踪精度与较好的实时性。
Abstract
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.

赵东, 周慧鑫, 秦翰林, 钱琨, 荣生辉, 成宽洪, 宋尚真. 基于引导滤波和核相关滤波的红外弱小目标跟踪[J]. 光学学报, 2018, 38(2): 0204004. 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.

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