Multiple object tracking: A literature review

计算机科学 数据科学 领域(数学) 分类 钥匙(锁) 对象(语法) 管理科学 人工智能 风险分析(工程) 工程类 计算机安全 数学 医学 纯数学
作者
Wenhan Luo,Junliang Xing,Anton Milan,Xiaoqin Zhang,Wei Liu,Tae‐Kyun Kim
出处
期刊:Artificial Intelligence [Elsevier BV]
卷期号:293: 103448-103448 被引量:533
标识
DOI:10.1016/j.artint.2020.103448
摘要

Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed to tackle this problem, it still remains challenging due to factors like abrupt appearance changes and severe object occlusions. In this work, we contribute the first comprehensive and most recent review on this problem. We inspect the recent advances in various aspects and propose some interesting directions for future research. To the best of our knowledge, there has not been any extensive review on this topic in the community. We endeavor to provide a thorough review on the development of this problem in recent decades. The main contributions of this review are fourfold: 1) Key aspects in an MOT system, including formulation, categorization, key principles, evaluation of MOT are discussed; 2) Instead of enumerating individual works, we discuss existing approaches according to various aspects, in each of which methods are divided into different groups and each group is discussed in detail for the principles, advances and drawbacks; 3) We examine experiments of existing publications and summarize results on popular datasets to provide quantitative and comprehensive comparisons. By analyzing the results from different perspectives, we have verified some basic agreements in the field; and 4) We provide a discussion about issues of MOT research, as well as some interesting directions which will become potential research effort in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
book完成签到,获得积分10
1秒前
李钧鹏完成签到,获得积分10
1秒前
孔不尤发布了新的文献求助30
1秒前
自豪的樱桃完成签到,获得积分10
5秒前
5秒前
大咸鱼完成签到,获得积分10
6秒前
aaaaaa完成签到,获得积分10
6秒前
7秒前
7秒前
老肥发布了新的文献求助10
7秒前
7秒前
9秒前
田様应助如意的听云采纳,获得10
9秒前
zhangyu应助那种采纳,获得10
10秒前
兴奋小丸子完成签到,获得积分10
10秒前
于水清发布了新的文献求助10
11秒前
陈卓完成签到,获得积分10
11秒前
小二郎应助solveing采纳,获得10
11秒前
延续完成签到,获得积分20
11秒前
know发布了新的文献求助10
12秒前
12秒前
12秒前
健壮保温杯完成签到,获得积分10
13秒前
14秒前
14秒前
14秒前
xy小侠女完成签到,获得积分10
15秒前
阿氏之光发布了新的文献求助10
15秒前
15秒前
思源应助萝卜采纳,获得10
16秒前
lalala完成签到,获得积分10
17秒前
斯文败类应助樱桃小王子采纳,获得10
18秒前
科研通AI2S应助Tina采纳,获得10
18秒前
找文献完成签到 ,获得积分10
18秒前
zhangyu应助QQ采纳,获得10
20秒前
淡淡的小蜜蜂完成签到,获得积分10
20秒前
zzahyc发布了新的文献求助10
20秒前
谦让寻凝完成签到 ,获得积分10
20秒前
xkh发布了新的文献求助10
20秒前
jj完成签到,获得积分20
21秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
Problems of point-blast theory 400
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
Novel Preparation of Chitin Nanocrystals by H2SO4 and H3PO4 Hydrolysis Followed by High-Pressure Water Jet Treatments 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3998315
求助须知:如何正确求助?哪些是违规求助? 3537823
关于积分的说明 11272560
捐赠科研通 3276885
什么是DOI,文献DOI怎么找? 1807154
邀请新用户注册赠送积分活动 883778
科研通“疑难数据库(出版商)”最低求助积分说明 810014