Person Re-Identification Algorithm Based on Feature Fusion and Subspace Learning

Xiaobo Zhu; Jin Che

doi:10.3788/LOP56.021503

Laser & Optoelectronics Progress, Volume. 56, Issue 2, 021503(2019)

Person Re-Identification Algorithm Based on Feature Fusion and Subspace Learning

Xiaobo Zhu^1,2 and Jin Che^1,2、*

Author Affiliations

¹ School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China

² Ningxia Key Laboratory of Intelligent Sensing for Desert Information, Ningxia University, Yinchuan, Ningxia 750021, China

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Figures & Tables(5)

Fig. 1. Images before and after MSRCR transformation (VIPeR dataset)

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Fig. 2. CMC curves for recognition rate comparison. (a) Feature comparison; (b) kernel function comparison

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Table 1. Performance comparison of different algorithms on VIPeR dataset

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Table 1. Performance comparison of different algorithms on VIPeR dataset

Algorithm	Machining rate /%
Algorithm	Rank 1	Rank 10	Rank 20
SDALF^[1]	19.9	49.4	65.7
Ref. [6]	28.9	59.6	73.1
Ref. [20]	26.2	71.8	82.3
Mid-level filter^[3]	29.1	66.0	79.9
KISSME^[16]	23.8	71.0	85.3
PCCA^[21]	19.3	64.9	80.3
Our algorithm	41.5	81.7	91.8

Table 2. Performance comparison of different algorithms on iLIDS dataset
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Table 2. Performance comparison of different algorithms on iLIDS dataset
Methods Machining rate /%
Rank 1 Rank 10 Rank 20
LFDA^[22] 32.2 68.7 81.6
rPCCA^[23] 28.0 71.8 85.9
KISSME^[16] 28.0 67.9 81.6
Literature ^[20] 40.8 85.3 90.6
Literature ^[14] 39.8 65.6 86.1
Our algorithm 45.3 80.1 91.9

Table 3. Performance comparison of different algorithms on 3DPeS data sets
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Table 3. Performance comparison of different algorithms on 3DPeS data sets
Methods Machining rate /%
Rank 1 Rank 10 Rank 20
LFDA^[18] 39.1 71.8 82.6
Literature^[20] 39.8 86.6 94.4
rPCCA^[21] 43.5 81.8 91.0
KISSME^[16] 34.2 69.6 80.2
PCCA^[21] 39.7 79.6 89.5
Our algorithm 51.2 89.9 96.20

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Xiaobo Zhu, Jin Che. Person Re-Identification Algorithm Based on Feature Fusion and Subspace Learning[J]. Laser & Optoelectronics Progress, 2019, 56(2): 021503

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