Person Re-Identification Based on Multi-Layer Feature

Kewen Liu; Panpan Fang; Hongxia Xiong; Chaoyang Liu; Yuan Ma; Xiaojun Li; Yalei Chen

doi:10.3788/LOP57.081503

Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081503(2020)

Person Re-Identification Based on Multi-Layer Feature

Kewen Liu^1,2, Panpan Fang^1,2, Hongxia Xiong^3、*, Chaoyang Liu⁴, Yuan Ma^1,2, Xiaojun Li^1,2, and Yalei Chen^1,2

Author Affiliations

¹School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China

²Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks, Wuhan University of Technology, Wuhan, Hubei 430070, China

³School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, Hubei 430070, China

⁴State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China

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Abstract Get PDF(in Chinese)

Figures & Tables(10)

Fig. 1. Residual module

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Fig. 2. Network structure

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Fig. 3. Graph of mapping function

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Fig. 4. Rank-1 results of Market-1501 and DukeMTMC-ReID. (a) Market-1501; (b) DukeMTMC-ReID

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Table 1. Simulation platform parameters

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Table 1. Simulation platform parameters

Configuration	Parameter
Operating system	Windows 7,64 bit
RAM(random access memory)	8G
CPU (central processing unit)	Intel PentiumG3260 3.3 GHz
GPU (graphics processing unit)	NVIDIAGTX 1070Ti
Software platform	Pytorch 1.1

Table 2. Simulation results of different stages
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Table 2. Simulation results of different stages
Stage Rank-1 /% mAP /%
Stage 1 61.0 69.9
Stage 2 81.8 71.3
Stage 3 89.1 74.9
Stage 4 88.7 73.2

Table 3. Simulation results of different methods
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Table 3. Simulation results of different methods
Method No. Rank-1 /% mAP /%
1 61.0 69.9
2 83.4 72.6
3 89.7 77.9
4 90.4 84.6
5 89.8 83.7

Table 4. Simulation results of multi-layer feature fusion%
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Table 4. Simulation results of multi-layer feature fusion%
Method Market-1501 DukeMTMC-ReID
Rank-1 mAP Rank-1 mAP
Method 4 90.4 84.6 84.6 80.2
Method 5 89.8 83.7 84.4 80.0
Propoed method 91.7 86.8 84.9 80.7

Table 5. Comparative results of running time of different methods
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Table 5. Comparative results of running time of different methods
Method Time /s
Test time Per match(19732)
GLAD^[12] 368 0.0186
ThriNet^[19] 343 0.0173
DaRe^[21] 315 0.0159
Proposed method 328 0.0166

Table 6. Performance comparison between proposed algorithm and mainstream methods%
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Table 6. Performance comparison between proposed algorithm and mainstream methods%
Method Market-1501 DukeMTMC-ReID
Rank-1 mAP Rank-1 mAP
SVDNet^[22] 82.3 62.1 76.7 56.8
MultiScale^[23] 88.9 73.1 79.2 60.6
GLAD^[12] 89.9 73.9 - -
ThriNet^[19] 84.9 69.1 - -
DaRe^[21] 90.8 85.9 84.4 79.6
Proposedmethod 91.7 86.8 84.9 80.7

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Kewen Liu, Panpan Fang, Hongxia Xiong, Chaoyang Liu, Yuan Ma, Xiaojun Li, Yalei Chen. Person Re-Identification Based on Multi-Layer Feature[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081503

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