数据采集与处理2024，Vol.39Issue(6)：1479-1492,14.DOI:10.16337/j.1004-9037.2024.06.016
多目标跟踪中基于SOT和重匹配的防遗漏机制
Anti-missing Mechanism Based on SOT and Rematching in Multiple Object Tracking
摘要
Abstract
Data association is an important step in multiple object tracking(MOT),which generally requires identity matching between objects and detections based on feature similarity.Some objects or detections may remain isolated after match is completed,which is the missing phenomenon that may lead to track interruption or identity confusion.Therefore,in order to improve the accuracy and stability of MOT and suppress the missing phenomenon in data association,this paper proposes an anti-missing mechanism based on high-performance single object tracker(SOT)and rematching.The mechanism uses Transformer and diffusion model to design a SOT that meets the requirements of MOT to track missing objects and rematch missing detections by remembering the object information.The effect of SOT and rematching methods in anti-missing mechanism is verified by ablation experiments,and the effect of this mechanism on the tracking performance of MOT algorithm is tested on standard datasets.The results show that the performance of all algorithms is improved comprehensively with the addition of this mechanism,which can effectively suppress the missing phenomenon in MOT.关键词
多目标跟踪/数据关联/遗漏现象/单目标跟踪器/重匹配Key words
multiple object tracking/data association/missing phenomenon/single object tracker/rematching分类
信息技术与安全科学引用本文复制引用
张毅锋,张嘉成,李元浩..多目标跟踪中基于SOT和重匹配的防遗漏机制[J].数据采集与处理,2024,39(6):1479-1492,14.基金项目
国家自然科学基金(61673108) （61673108）
江苏省自然科学基金(BK20201267). （BK20201267）
