吉林大学学报（理学版）2017，Vol.55Issue(5)：1207-1212,6.DOI:10.13413/j.cnki.jdxblxb.2017.05.31
一种抗遮挡的运动目标跟踪算法
An Anti-occlusion Tracking Algorithm for Moving Objects
摘要
Abstract
Aiming at the problem that the current target tracking algorithm was subject to large environmental interference and poor anti-occlusion ability,the author designed an anti-occlusion tracking algorithm for moving objects.Firstly,the limitations of the classical tracking algorithm for moving objects-mean shift algorithm were analyzed,and then salient features that contributed most to the tracking were selected from the target candidate features,and the adaptive template updating strategy was adopted to improve the accuracy of the moving objects.The simulation results show that the algorithm can track moving object accurately and real-time,accelerate the tracking speed of moving object,have good robustness to occlusion object,and obtain better tracking results for moving object.关键词
均值漂移算法/运动目标跟踪/抗遮挡能力/鲁棒性测试/模板更新Key words
mean shift algorithm/moving object tracking/anti-occlusion ability/robustness test/template updating分类
信息技术与安全科学引用本文复制引用
李秀娟..一种抗遮挡的运动目标跟踪算法[J].吉林大学学报（理学版）,2017,55(5):1207-1212,6.基金项目
安徽省自然科学基金(批准号:KJ2015A258). （批准号:KJ2015A258）
