西华大学学报（自然科学版）2026，Vol.45Issue(4)：77-89,13.DOI:10.12198/j.issn.1673-159X.5559
具有双目深度信息重建功能的车辆目标跟踪方法
Vehicle Target Tracking Method with Binocular Depth Information Reconstruction Function
摘要
Abstract
To address the problem of frequent trajectory label switching of target vehicles in pure vis-ion-based vehicle target tracking in traffic scenes caused by the lack of depth information,a binocular depth information reconstruction module based on the Deep SORT framework was introduced.The AD-Census binocular stereo matching technique was utilized to accurately reconstruct the three-dimensional informa-tion of target vehicles.Meanwhile,by combining with the efficient DETR target detection network,an end-to-end vehicle target tracking system integrating target detection,binocular depth estimation,and target tracking technologies was constructed.Experimental results demonstrate that the number of label switches(IDSW)during vehicle trajectory tracking is reduced to a maximum of 15,while the average tracking preci-sion(MOTP)reaches 79.768%,and the tracking accuracy(MOTA)reaches 84.687%.The method pro-posed in this paper effectively reduces the switching frequency of driving trajectory labels and improves the tracking accuracy and stability.关键词
车辆目标跟踪/双目视觉/AD-Census/DETRKey words
vehicle target tracking/binocular vision/AD-Census/DETR分类
信息技术与安全科学引用本文复制引用
余杨,彭忆强,何刘..具有双目深度信息重建功能的车辆目标跟踪方法[J].西华大学学报（自然科学版）,2026,45(4):77-89,13.基金项目
四川省科技创新基地建设项目(2022ZYD0125) （2022ZYD0125）
国家自然科学青年科学基金项目(52205129). （52205129）
