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Deep Learning Based Occluded Person Re-Identification: A Survey

文献类型：期刊论文

作者Peng, Yunjie4; Wu, Jinlin3; Xu, Boqiang3; Cao, Chunshui2; Liu, Xu2; Sun, Zhenan1; He, Zhiqiang4
刊名ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
出版日期2024-03-01
卷号20期号:3页码:27
ISSN号1551-6857
关键词Occluded person re-identification partial person re-identification literature survey deep learning
DOI10.1145/3610534
通讯作者Peng, Yunjie(yunjiepeng@buaa.edu.cn)
英文摘要Occluded person re-identification (Re-ID) focuses on addressing the occlusion problem when retrieving the person of interest across non-overlapping cameras. With the increasing demand for intelligent video surveillance and the application of person Re-ID technology, the real-world occlusion problem draws considerable interest from researchers. Although a large number of occluded person Re-ID methods have been proposed, there are few surveys that focus on occlusion. To fill this gap and help boost future research, this article provides a systematic survey of occluded person Re-ID. In this work, we review recent deep learning based occluded person Re-ID research. First, we summarize the main issues caused by occlusion as four groups: position misalignment, scale misalignment, noisy information, and missing information. Second, we categorize existing methods into six solution groups: matching, image transformation, multi-scale features, attention mechanism, auxiliary information, and contextual recovery. We also discuss the characteristics of each approach, as well as the issues they address. Furthermore, we present the performance comparison of recent occluded person Re-ID methods on four public datasets: Partial-ReID, Partial-iLIDS, Occluded-ReID, and Occluded-DukeMTMC. We conclude the study with thoughts on promising future research directions.
WOS关键词NETWORK
WOS研究方向Computer Science
语种英语
出版者ASSOC COMPUTING MACHINERY
WOS记录号WOS:001153381000013
源URL[http://ir.ia.ac.cn/handle/173211/55583]  
专题多模态人工智能系统全国重点实验室
自动化研究所_智能感知与计算研究中心
通讯作者Peng, Yunjie
作者单位1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Ctr Res Intelligent Percept & Comp, 95 ZhongGuanCun East Rd, Beijing 100190, Peoples R China
2.Watrix Technol Ltd Co Ltd, 51 XueYuan Rd, Beijing 100191, Peoples R China
3.Chinese Acad Sci, Inst Automat, 95 ZhongGuanCun East Rd, Beijing 100190, Peoples R China
4.Beihang Univ, Sch Comp Sci & Technol, 37 XueYuan Rd, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714		 Peng, Yunjie,Wu, Jinlin,Xu, Boqiang,et al. Deep Learning Based Occluded Person Re-Identification: A Survey[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2024,20(3):27.
APA Peng, Yunjie.,Wu, Jinlin.,Xu, Boqiang.,Cao, Chunshui.,Liu, Xu.,...&He, Zhiqiang.(2024).Deep Learning Based Occluded Person Re-Identification: A Survey.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,20(3),27.
MLA Peng, Yunjie,et al."Deep Learning Based Occluded Person Re-Identification: A Survey".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 20.3(2024):27.

入库方式： OAI收割

来源：自动化研究所

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