Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1215004(2022)

Tracking Algorithm Based on Video Person Reidentification and Spatiotemporal Feature Fusion

Guancheng Hui1, Kaifang Li1, Ming Xin3, and Miaohui Zhang1,2、*
Author Affiliations
  • 1School of Artificial Intelligence, Henan University, Kaifeng 475004, Henan , China
  • 2Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng 475004, Henan , China
  • 3School of Computer Science and Engineering, Beihang University, Beijing 100191, China
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    References(36)

    [4] Li C, Yang D D, Song P et al. Global-aware siamese network for thermal infrared object tracking[J]. Acta Optica Sinica, 41, 0615002(2021).

    [5] Li F J, Liu H H, Ren H G et al. Scale adaptive kernel correlation tracking method with high confidence[J]. Laser & Optoelectronics Progress, 58, 0815004(2021).

    [10] Liu K W, Fang P P, Xiong H X et al. Person re-identification based on multi-layer feature[J]. Laser & Optoelectronics Progress, 57, 081503(2020).

    [11] Luo H, Jiang W, Fan X et al. A survey on deep learning based person re-identification[J]. Acta Automatica Sinica, 45, 2032-2049(2019).

    [33] Sun S J, Akhtar N, Song H S et al. Deep affinity network for multiple object tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 104-119(2021).

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    Guancheng Hui, Kaifang Li, Ming Xin, Miaohui Zhang. Tracking Algorithm Based on Video Person Reidentification and Spatiotemporal Feature Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1215004

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    Paper Information

    Category: Machine Vision

    Received: Apr. 16, 2021

    Accepted: Jun. 11, 2021

    Published Online: May. 23, 2022

    The Author Email: Miaohui Zhang (zhmh@henu.edu.cn)

    DOI:10.3788/LOP202259.1215004

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