Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 7, 880(2022)

Pedestrian multi-target tracking method based on YOLOv5 and person re-identification

Yu-ting HE1,2, Jin CHE1,2、*, and Jin-man WU1,2
Author Affiliations
  • 1School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China
  • 2Ningxia Key Laboratory of Intelligent Sensing for Desert Information,Yinchuan 750021,China
  • show less
    References(24)

    [16] LI Y S, MA R G, ZHANG M Y. Traffic monitoring video vehicle volume statistics method based on improved YOLOv5s+DeepSORT[J]. Computer Engineering and Applications, 58, 271-279(2020).

    [22] ZOU B J, LI B Z, LIU S. A multi-pedestrian tracking algorithm based on center point detection and person re-identification[J]. Geomatics and Information Science of Wuhan University, 46, 1345-1353(2021).

    Tools

    Get Citation

    Copy Citation Text

    Yu-ting HE, Jin CHE, Jin-man WU. Pedestrian multi-target tracking method based on YOLOv5 and person re-identification[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(7): 880

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jan. 24, 2022

    Accepted: --

    Published Online: Jul. 7, 2022

    The Author Email: Jin CHE (koalache@126.com)

    DOI:10.37188/CJLCD.2022-0025

    Topics