A Survey on Recent Approaches in Person Re-ID

被引:2
|
作者
Vidhyalakshmi, M. K. [1 ]
Poovammal, E. [2 ]
机构
[1] Tagore Engn Coll, Dept Elect & Commun Engn, Madras 600127, Tamil Nadu, India
[2] SRM Univ, Dept Comp Sci & Engn, Madras 603203, Tamil Nadu, India
关键词
Person reidentification; Feature extraction; Metric learning; REIDENTIFICATION; FEATURES;
D O I
10.1007/978-981-10-3174-8_42
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the field of video surveillance, person re-ID (reidentification) is an assignment of identifying an individual caught by various cameras in the system at various place and time. With the developing security dangers, this undertaking has an incredible significance in observation out in the open spots like air terminal, railroad station, shopping buildings, and so forth. This assignment recognizes the individual of interest among the gathering of individuals caught by various cameras in the system put at various places and tracks the individual in various camera views. This undertaking faces numerous difficulties and has pulled in the scientists to this field to discover the answer for defeat the difficulties. In this paper, we have discussed about the latest research works that have been made to assault these difficulties.
引用
收藏
页码:503 / 511
页数:9
相关论文
共 50 条
  • [31] Progressive A.ribute Embedding for Accurate Cross-modality Person Re-ID
    Zheng, Aihua
    Pan, Peng
    Li, Hongchao
    Li, Chenglong
    Luo, Bin
    Tan, Chang
    Jia, Ruoran
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2022, 2022, : 4309 - 4317
  • [32] Attention-disentangled re-ID network for unsupervised domain adaptive person re-identification
    Wang, Lun
    Huang, Jiapeng
    Huang, Luoqi
    Wang, Fei
    Gao, Changxin
    Li, Jinsheng
    Xiao, Fei
    Luo, Dapeng
    Knowledge-Based Systems, 2024, 304
  • [33] Fusion of Multiple Person Re-id Methods With Model and Data-Aware Abilities
    Cheng, De
    Li, Zhihui
    Gong, Yihong
    Zhang, Dingwen
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (02) : 561 - 571
  • [34] Text-Based Person re-ID by Saliency Mask and Dynamic Label Smoothing
    Pang, Yonghua
    Zhang, Canlong
    Li, Zhixin
    Hu, Liaojie
    NEURAL INFORMATION PROCESSING, ICONIP 2023, PT V, 2024, 14451 : 443 - 454
  • [35] A NOVEL RANK CORRELATION MEASURE FOR MANIFOLD LEARNING ON IMAGE RETRIEVAL AND PERSON RE-ID
    Valem, Lucas Pascotti
    Sato Kawai, Vinicius Atsushi
    Pereira-Ferrero, Vanessa Helena
    Guimaraes Pedronette, Daniel Carlos
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 1371 - 1375
  • [36] Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
    Xu, Boqiang
    He, Lingxiao
    Liao, Xingyu
    Liu, Wu
    Sun, Zhenan
    Mei, Tao
    MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, 2020, : 673 - 681
  • [37] A Novel Person Re-ID Method based on Multi-Scale Feature Fusion
    Li, Yuanyuan
    Wang, Xiaofei
    Zhu, Zhiqin
    Huang, Xinghua
    Li, Penghua
    Qi, Guanqiu
    Rong, Yujun
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 7154 - 7159
  • [38] Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID
    Chen, Peixian
    Liu, Wenfeng
    Dai, Pingyang
    Liu, Jianzhuang
    Ye, Qixiang
    Xu, Mingliang
    Chen, Qi'an
    Ji, Rongrong
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 11813 - 11822
  • [39] Pedestrian re-ID based on deep feature
    Zhou, Kan
    Hu, Shiqiang
    Zhu, Rentai
    Wu, Tong
    2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2018,
  • [40] A CAM-ENHANCING GENERATIVE PERSON RE-ID METHOD BASED GLOBAL AND LOCAL FEATURES
    Li, Angze
    Mao, Shasha
    Xiong, Lin
    Qi, Mengnan
    Gou, Shuiping
    Jiao, Licheng
    2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2023, : 2355 - 2359