Person Re-Identification Based on Feature Stitching

Tong Pan; Wenguo Li

doi:10.3788/LOP56.162001

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 16 >Page 162001 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 16, 162001 (2019)

Person Re-Identification Based on Feature Stitching

Tong Pan and Wenguo Li^*

Author Affiliations

Faculty of Mechanical & Electrical Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China

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DOI: 10.3788/LOP56.162001 Cite this Article Set citation alerts

Tong Pan, Wenguo Li. Person Re-Identification Based on Feature Stitching[J]. Laser & Optoelectronics Progress, 2019, 56(16): 162001 Copy Citation Text

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Fig. 1. Inception block

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Fig. 2. Network structure

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Fig. 3. Recognition effects

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N	Rank1	mAP
2048	94.2	84.9
1024	94.8	85.7
512	95.2	86.0
256	94.6	85.5

Table 1. Experimental results corresponding todifferent N%

M	Rank1	mAP
1.0	95.2	86.0
0.8	94.5	85.6
0.6	94.6	85.8
0.4	94.3	85.3
0.2	94.0	85.4

Table 2. Experimental results corresponding to different M%

Method	Rank1	mAP
1 (Resnet50)	87.2	72.3
2 (Resnet50+bottleneck layer)	89.6	73.4
3 (Resnet50+bottlenecklayer+bias removing)	90.5	75.1

Table 3. Experiment results of basic model%

Method	Rank1	mAP
E(branch 1)	90.5	75.1
F(branches 1,2)	93.8	83.3
H(branches 1,2,3)	93.9	84.2
J(branches 1,2,3 andauxiliary classifier)	95.2	86.0

Table 4. Experimental results of different methods%

Method	Test time /s
Resnet50	179
Ours	206
PCB+RPP^[11]	212

Table 5. Test time on Market1501 dataset

Method	Rank1	Rank5	Rank10	mAP
MLFN^[16]	90.0	-	-	74.3
PSE+ECN^[17]	90.4	94.5	96.8	80.5
HA-CNN^[18]	91.2	-	-	75.7
MACS^[7]	93.1	-	-	82.3
DNN_CRF^[19]	93.5	-	-	81.6
HSP^[12]	93.7	97.6	98.4	83.4
PCB+RPP^[11]	93.8	97.5	98.5	81.6
Ours	95.2	98.0	98.8	86.0

Table 6. Comparison of results on Market1501%

Method	Rank1	Rank5	Rank10	mAP
AOS^[20]	79.2	-	-	62.1
HA-CNN^[18]	80.5	-	-	63.8
GSRW^[21]	80.7	88.5	90.8	66.4
MLFN^[16]	81.0	-	-	62.8
DuATM^[22]	81.8	90.2	-	64.6
PCB+RPP^[11]	83.3	90.5	92.5	69.2
Ours	86.7	93.5	95.5	74.0