• Laser & Optoelectronics Progress
  • Vol. 58, Issue 22, 2215003 (2021)
Zhengyi Zhang, Jianwei Ding*, Huiwen Wei, and Xiaotong Xiao
Author Affiliations
  • College of Information and Cyber Security, People’s Public Security University of China, Beijing 100038, China
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    DOI: 10.3788/LOP202158.2215003 Cite this Article Set citation alerts
    Zhengyi Zhang, Jianwei Ding, Huiwen Wei, Xiaotong Xiao. Multi-Level Features Cascade for Person Re-Identification Based on Attention Mechanism[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215003 Copy Citation Text show less
    Structure of the AMFC algorithm
    Fig. 1. Structure of the AMFC algorithm
    Structure of the MFC-Net
    Fig. 2. Structure of the MFC-Net
    Structure of the PCAM
    Fig. 3. Structure of the PCAM
    Structure of the CAM
    Fig. 4. Structure of the CAM
    Visualization results of the area of interest of different algorithms. (a) Original image; (b) Baseline; (c) Baseline with MFC-Net; (d) AMFC
    Fig. 5. Visualization results of the area of interest of different algorithms. (a) Original image; (b) Baseline; (c) Baseline with MFC-Net; (d) AMFC
    Processing results of different algorithms on the occlusion and camera viewing angle changes. (a) Baseline; (b) Baseline with MFC-Net; (c) AMFC
    Fig. 6. Processing results of different algorithms on the occlusion and camera viewing angle changes. (a) Baseline; (b) Baseline with MFC-Net; (c) AMFC
    Processing results of different algorithms on the images of various illumination. (a) Baseline; (b) Baseline with MFC-Net; (c) AMFC
    Fig. 7. Processing results of different algorithms on the images of various illumination. (a) Baseline; (b) Baseline with MFC-Net; (c) AMFC
    Processing results of different algorithms on images with similarly dressed person. (a) Baseline; (b) Baseline with MFC-Net; (c) AMFC
    Fig. 8. Processing results of different algorithms on images with similarly dressed person. (a) Baseline; (b) Baseline with MFC-Net; (c) AMFC
    AlgorithmMarket-1501DukeMTMC-ReIDCUHK03
    Rank-1mAPRank-1mAPRank-1mAP
    Baseline91.477.882.166.858.452.6
    MFC-Net93.283.585.673.065.060.6
    Baseline(+RK)93.290.387.584.569.770.7
    MFC-Net(+RK)94.592.289.186.475.576.2
    Table 1. Influence of MFC-Net on the performance of the algorithm unit: %
    AlgorithmMarket-1501DukeMTMC-ReIDCUHK03
    Rank-1mAPRank-1mAPRank-1mAP
    MFC-Net93.283.585.673.065.060.6
    AMFC93.884.186.273.965.760.5
    MFC-Net(+RK)94.592.289.186.475.576.2
    AMFC(+RK)94.692.589.186.575.676.7
    Table 2. Influence of PCAM on algorithm performance unit: %
    AlgorithmMarket-1501DukeMTMC-ReIDCUHK03
    Rank-1mAPRank-1mAPRank-1mAP
    SVDNet[16]82.362.176.756.840.937.8
    PCB[17]92.377.481.965.359.753.2
    PCB+RPP[17]93.881.683.369.262.856.7
    DaRe[18]89.076.080.264.560.264.5
    AlignedReID++[19]91.077.680.768.060.959.7
    CASN(PCB)[20]94.482.887.773.773.768.0
    AMFC(+RK)94.692.589.186.575.676.7
    Table 3. Detection performance of different algorithms unit: %
    Zhengyi Zhang, Jianwei Ding, Huiwen Wei, Xiaotong Xiao. Multi-Level Features Cascade for Person Re-Identification Based on Attention Mechanism[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215003
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