Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 8, 1128(2023)

Stable and real-time pedestrian tracking method based on improved DeepSORT under complex background

Li-juan ZHANG1,2, Zi-wei ZHANG2, Yu-tong JIANG3、*, Dong-ming LI1,4, Meng-da HU2, and Ying-xue LIU2
Author Affiliations
  • 1School of Internet of Things Engineering, Wuxi University, Wuxi 214105, China
  • 2College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • 3China North Vehicle Research Institute, Beijing 100072, China
  • 4School of Information Technology, Jilin Agricultural University, Changchun 130118, China
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    References(23)

    [18] SHAO S, ZHAO Z J, LI B X et al. CrowdHuman: a benchmark for detecting human in a crowd[J/OL](2018).

    [20] STONE R. CenterTrack: an IP overlay network for tracking DoS floods[C](2000).

    [23] ZHAN Y F, WANG C Y, WANG X G et al. A simple baseline for multi-object tracking[J/OL](2020).

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    Li-juan ZHANG, Zi-wei ZHANG, Yu-tong JIANG, Dong-ming LI, Meng-da HU, Ying-xue LIU. Stable and real-time pedestrian tracking method based on improved DeepSORT under complex background[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(8): 1128

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    Paper Information

    Category: Research Articles

    Received: Oct. 22, 2022

    Accepted: --

    Published Online: Oct. 9, 2023

    The Author Email: Yu-tong JIANG (jiangyutong201@163.com)

    DOI:10.37188/CJLCD.2022-0350

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