雷达科学与技术2025，Vol.23Issue(1)：10-31,22.DOI:10.3969/j.issn.1672-2337.2025.01.002
面向多目标跟踪的数据关联方法研究综述
A Survey on Data Association Approaches to Multi-Target Tracking
摘要
Abstract
Target tracking is widely used in military and civilian fields,such as attack and defense in important areas,air and missile defense,and unmanned driving.Compared with single target tracking,multi-target tracking often involves an unknown number of targets as well as clutter,missed detection and other complex situations.One of the core technical difficulties is the data association,including the association between the measurement and targets and that between target tracks from different sensors.The main solutions of the data association(DA)problem in multi-target tracking is reviewed in this paper,and the classic approaches are classified into deterministic and probabilistic DA for the first time.The former includes the nearest neighbor,global nearest neighbor and multi-hypothesis tracking,while the latter includes probabilistic DA,joint probabilistic DA and probabilistic multi-hypothesis tracking.Systematic elabora-tion and comparison of the basic principles,respective applicability,advantages and disadvantages of these classic al-gorithms and their extensions are provided,exposing their interrelationship.It is further pointed out that the intelligent learning and optimization algorithms have also provided new solutions for DA problems in recent years.Especially in the field of visual tracking,DA tracking is closely combined with target feature learning and scene awareness,which brings new challenges to DA.These various DA methods and ideas are analyzed and summarized,and the future development trend is prospected in this paper.关键词
多目标跟踪/数据关联/确定性关联/概率性关联Key words
multi-target tracking/data association/deterministic association/probabilistic association分类
电子信息工程引用本文复制引用
李天成,谢昱昕,李固冲,范红旗..面向多目标跟踪的数据关联方法研究综述[J].雷达科学与技术,2025,23(1):10-31,22.基金项目
国家自然科学基金(No.62422117,62471400,62071389) （No.62422117,62471400,62071389）
陕西省自然科学基础研究计划(No.2023JC-XJ-22) （No.2023JC-XJ-22）
中央高校基本科研业务费专项资金 （）
