Acta Optica Sinica, Volume. 39, Issue 6, 0615007(2019)
Person Re-Identification Based on View Information Embedding
Figures & Tables(11)
Table 1. Results of perspective predictor module verification experiment
View tableTable 1. Results of perspective predictor module verification experiment
Method Market1501 Duke-MTMC-reID MARS rank-1 /% mAP /% rank-1 /% mAP /% rank-1 /% mAP /% Proposed Except perspective 83.6 62.6 74.1 53.7 67.7 50.1 All 89.9 71.6 79.9 61.7 74.1 57.6
Table 2. Results of improved depthwise separable convolution verification experiment
View tableTable 2. Results of improved depthwise separable convolution verification experiment
Method Market1501 Duke-MTMC-reID MARS rank-1 /% mAP /% rank-1 /% mAP /% rank-1 /% mAP /% Proposed Except SE-Block 87.0 67.5 77.8 59.6 71.2 54.2 All 89.9 71.6 79.9 61.7 74.1 57.6
Table 3. Verification experiment results of mid-level feature method
View tableTable 3. Verification experiment results of mid-level feature method
Method Market1501 Duke-MTMC-reID MARS rank-1 /% mAP /% rank-1 /% mAP /% rank-1 /% mAP /% Proposed Except Mid-level-feature 87.4 70.9 79.5 57.8 72.1 55.9 All 89.9 71.6 79.9 61.7 74.1 57.6
Table 4. Results of improved model verification experiment
View tableTable 4. Results of improved model verification experiment
S/N Improved method Market1501 Duke-MTMC-reID MARS IM1 IM2 IM3 rank-1 /% mAP /% rank-1 /% mAP /% rank-1 /% mAP /% PSE ① - - - 87.7 69.0 79.8 62.0 72.1 56.9 ② - - Y 86.8 66.5 77.5 60.5 70.5 54.9 ③ - Y - 82.5 64.2 70.1 54.3 68.4 49.3 ④ - Y Y 85.3 65.8 72.5 57.2 70.2 53.8 Ours ⑤ Y - - 87.5 69.0 79.4 61.1 70.9 57.1 ⑥ Y - Y 85.9 66.5 75.6 59.9 67.8 54.6 ⑦ Y Y - 86.6 65.6 77.4 59.4 70.1 55.1 ⑧ Y Y Y 89.9 71.6 79.9 61.7 74.1 57.6
Table 5. Results of algorithm running speed comparison experiment
View tableTable 5. Results of algorithm running speed comparison experiment
Method Time /s Total match Per match (19720) PSE 141.57 0.0072 Proposed 288.96 0.0147
Table 6. Comparison of algorithm results
View tableTable 6. Comparison of algorithm results
Method Market1501 Duke-MTMC-reID MARS rank-1 /% mAP /% rank-1 /% mAP /% rank-1 /% mAP /% P2S(point to set) 70.7 44.3 - - - - Spindle 76.9 - - - - - Consistent aware 80.9 55.6 - - - - GAN(generative adversarial networks) 78.1 56.2 67.7 47.1 - - Latent parts 80.3 57.5 - - 71.8 56.1 ResNet+OIM(online instance matching) 82.1 - 68.1 - - - ACRN(attribute-complementary re-ID net) 83.6 62.6 72.6 52.0 - - SVD(singular value decomposition) 82.3 62.1 76.7 56.8 - - Part aligned 81.0 63.4 - - - - PDC(pose-driven deep convolutional model) 84.1 63.4 - - - - JLML(jointly learning multi-loss) 85.1 65.5 - - - - DPFL 88.6 72.6 79.2 60.6 - - Forest - - - - 70.6 50.7 DGM(dynamic graph matching)+IDE - - - - 65.2 46.8 QMA - - - - 73.7 51.7 ResNet baseline 82.6 59.8 71.5 50.3 64.5 49.5 PSE 87.7 69.0 79.8 62.0 72.1 56.9 Proposed algorithm 89.9 71.6 79.9 61.7 74.1 57.6
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Xiaojun Bi, Hao Wang. Person Re-Identification Based on View Information Embedding[J]. Acta Optica Sinica, 2019, 39(6): 0615007
Paper Information
Category: Machine Vision
Received: Jan. 11, 2019
Accepted: Mar. 11, 2019
Published Online: Jun. 17, 2019
The Author Email: Wang Hao (jdzwanghao@hrbeu.edu.cn)
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