火力与指挥控制2024，Vol.49Issue(6)：128-134,7.DOI:10.3969/j.issn.1002-0640.2024.06.018
基于改进的相关滤波卫星视频抗遮挡跟踪方法
Anti-occlusion Tracking Method for Satellite Videos Based on Improved Correlation Filter
摘要
Abstract
Some target tracking problems such as complex background,small size and easy to be occluded in satellite videos will affect the accuracy of tracking and even lead to tracking failure.Therefore,an improved kernel correlation filtering algorithm is proposed to solve the problem of target occlusion in satellite videos and to track the target effectively.The algorithm describes the target collectively by extracting the HOG features,LBP features and SIFT features of the target,and reduces the impact of background changes by using the fusion features.An adaptive Kalman filtering algorithm is proposed to solve the problem of target occlusion in the tracking process.The ITCI value is used to determine whether the target is occluded,and the position of the occluded target is predicted.The kernel correlation filtering algorithm is selected to meet the requirement of the real-time and accuracy of tracking.The experimental results show that the improved kernel correlation filtering algorithm solves the problem of target occlusion,performs better under the change of target background,and while improves the tracking accuracy and success rate greatly.关键词
核相关滤波/特征融合/自适应卡尔曼滤波/目标跟踪/卫星视频Key words
kernel correlation filtering/feature fusion/adaptive Kalman filter/target tracking/satel-lite videos分类
信息技术与安全科学引用本文复制引用
李孟歆,王宝锋,姜政,李志秀,朴东辉..基于改进的相关滤波卫星视频抗遮挡跟踪方法[J].火力与指挥控制,2024,49(6):128-134,7.基金项目
国家自然科学基金(62133014) （62133014）
辽宁省自然科学基金资助项目(20180550286) （20180550286）
