计算机工程与应用2024，Vol.60Issue(8)：242-249,8.DOI:10.3778/j.issn.1002-8331.2212-0096
基于改进Tracktor的行人多目标跟踪算法
Improved Tracktor-Based Pedestrian Multi-Objective Tracking Algorithm
摘要
Abstract
In multi-target video tracking,for the problem of detection bias caused by interaction occlusion and other influ-ences,thus resulting in target identity loss,an improved Tracktor-based pedestrian multi-target tracking algorithm is proposed.Firstly,a dynamic update module is designed in the detection frame regression to further detect and locate the proposed frame by using twin networks.Then,the temporal information enhancement module is used to update a more suitable template for current frame and establish global contextual relationships.And feature fusion is performed through pixel correlation,thus enhancing target edge information and scale information.Finally,camera motion compensation and fusion similarity matrix are adopted to construct a secondary correlation tracking mechanism to establish stronger correlation between detection frame and trajectory,and improve the robustness of target tracking.Experimental tests are conducted on public available MOT16 dataset,in comparasion with current mainstream algorithms,the tracking accuracy perfor-mance of the proposed algorithm is better,which has good robustness with a stable FPS of 24 frames.关键词
计算机视觉/多目标跟踪/Tracktor/孪生网络Key words
computer vision/multi-target tracking/Tracktor/siamese network分类
信息技术与安全科学引用本文复制引用
谌海云,黄忠义,王海川,余鸿皓..基于改进Tracktor的行人多目标跟踪算法[J].计算机工程与应用,2024,60(8):242-249,8.基金项目
南充市校科技战略合作项目(SXHZ053,SXJBGS002). （SXHZ053,SXJBGS002）
