偏振融合的红外船舶弱小目标跟踪算法  

An Algorithm for Infrared Dim Ship Target Tracking Based on Polarization Fusion

作　　者：杜星月 朱志宇[1] 张哲卿 曹百亨 葛慧林 DU Xingyue;ZHU Zhiyu;ZHANG Zheqing;CAO Baiheng;GE Huilin(School of Automation,Jiangsu University of Science and Technology,Zhenjiang 212000,China;School of Intelligence Science and Technology,University of Science and Technology Beijing,Beijing 100000,China)

机构地区：[1]江苏科技大学自动化学院,江苏镇江212000 [2]北京科技大学人工智能学院,北京100000

出　　处：《电光与控制》2024年第12期84-90,共7页Electronics Optics & Control

基　　金：国家自然科学基金(61671222,62006102);江苏省研究生科研与实践创新计划(KYCX23_3886)。

摘　　要：针对传统红外船舶目标跟踪场景中对偏振因子利用率低、背景复杂、目标尺度和外观变换剧烈导致的跟踪失败和模型退化问题,提出了一种基于联合预测框架的双相关滤波目标跟踪算法。在构造一种偏振约束自适应新式滤波器-位置联合优化框架的基础上,用偏振掩模滤波器对主滤波器的响应图谱进行了修正,构造出基于偏振特征的并行双滤波器结构,并对提出的优化框架进行了收敛性证明。此外,构造了红外偏振船舶的弱小目标数据集,并在此数据集上通过实验证明所提算法可以实现实时跟踪,且在准确性、鲁棒性等常用性能指标中平均高出国际上近期提出的其他相关滤波算法15%以上。Aiming at the problems of tracking failure and model degradation caused by low utilization rate of polarization factor,complex background and drastic change of target scale and appearance in traditional infrared ship target tracking scene,a bidirectional correlation filtering target tracking algorithm based on joint optimization framework is proposed.On the basis of constructing a new polarization constraint self-adaptation filter-location joint optimization framework,the response map of the main filter is calibrated by polarization mask filter,a parallel double filter structure based on polarization characteristics is constructed,and the convergence of the proposed optimization framework is proved.In addition,a dataset of infrared dim ship target is constructed,and experiments on the dataset prove that the proposed algorithm can realize real-time tracking,and it is more than 15%higher than other related filtering algorithms recently proposed in terms of accuracy,robustness and other common performance indexes.

关 键 词：红外船舶跟踪 偏振特征 可分离优化 双相关滤波结构 联合优化框架 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] U675.79[自动化与计算机技术—计算机科学与技术]