引入垂直全局表观约束的中层特征行人再识别

doi:10.11959/j.issn.1000-0801.2017023

Abstract

Abstract:

Mid-level features with the semantic information can provide stronger discrimination in the person re-identification than low-level features.But like the low-level features,the mid-level features also use local feature matching methods and easily leads mismatch problem when different pedestrians have similar appearance features in some local areas.Considering the same pedestrians are more similar than different pedestrians in the vertical direction since pedestrians are almost always in a standing position,global vertical appearance constraints was introduced.Furtherly,a method for person re-identification was proposed which fuses the low-level densely patch-matching and the mid-level features with the global vertical appearance constraints.Experimental results show that the proposed algorithm can achieve a higher hit rate than the existing methods on the most challenging public VIPeR database and CUHK01 database.

Key words: person re-identification, mid-level feature, apparent constraint

CLC Number:

TP391

Yadong WANG,Rong ZHANG,Huihui JIANG,Lijun GUO. Person re-identification using mid-level features with vertical global appearance constraint[J]. Telecommunications Science, 2017, 33(4): 114-125.

Figures/Tables 10

References 25

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方法	r=1	r=5	r=10	r=20
SDALF	19.87%	38.89%	49.37%	65.73%
eSDC	26.31%	46.60%	58.86%	72.76%
PRDC	15.66%	38.42%	53.86%	70.09%
PCCA	19.27%	48.89%	64.91%	80.28%
KISSME	19.60%	48%	62.20%	77%
LF	24.18%	52%	67.12%	82%
SalMatch	30.16%	52.31%	65.54%	79.14%
LADF	29.34%	61.04%	75.98%	88.10%
LMF	29.11%	52.34%	65.95%	79.87%
本文算法	30.04%	53.27%	66.21%	79.50%
LMF+LADF	43.29%	73.04%	84.87%	93.70%
本文算法+LADF	44.38%	74.14%	85.56%	93.97%

方法	r=1	r=5	r=10	r=20
SDALF	9.90%	22.57%	30.33%	41.03%
eSDC	19.67%	32.71%	40.29%	50.58%
LMNN	13.45%	31.33%	42.25%	54.11%
ITML	15.98%	35.22%	45.60%	59.81%
GenericMetric	20%	43.58%	56.04%	69.27%
SalMatch	28.45%	45.85%	55.67%	67.95%
LMF	34.30%	55.06%	64.95%	74.94%
本文算法	35.85%	55.80%	65.89%	76.39%

Person re-identification using mid-level features with vertical global appearance constraint

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References 25

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