指挥控制与仿真2024，Vol.46Issue(3)：116-122,7.DOI:10.3969/j.issn.1673-3819.2024.03.017
长短时算法:一种视频多目标关联算法
Long-short time association algorithm:a robust data association algorithm
王锐 1丁春山1
作者信息
- 1. 江苏自动化研究所,江苏 连云港 222061
- 折叠
摘要
Abstract
The main challenge of multi-object tracking(MOT)is identity switch caused by severe occlusion.The solution to identity switching is video object association,which assigns an identity number to the same target in different frames.In this paper,a long-short time association algorithm is proposed for identity switching.In the short-time,that is,the motion fea-tures between adjacent frames are used to match,and in the long-time,that is,the non-adjacent frames are directly added to the appearance features for association to rematch the object detected after occlusion.Besides,the Kalman filter is improved and the frame width parameter is added to make the predicted frame more accurate;appearance features use average appear-ance features and increase detection confidence as update parameters to make appearance more robust and can still work in complex scenes.The new tracker,LSATrack,achieves 81.3MOTA and 81.3IDF1 in the MOT17 and achieves stable tracking in severe occlusion scenarios.关键词
视频目标关联/视频多目标跟踪/先检测后跟踪/平均外观特征Key words
video object association/multi-object tracking/tracking-by-detection/average appearance feature分类
信息技术与安全科学引用本文复制引用
王锐,丁春山..长短时算法:一种视频多目标关联算法[J].指挥控制与仿真,2024,46(3):116-122,7.
