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

Yadong WANG; Rong ZHANG; Huihui JIANG; Lijun GUO

doi:10.11959/j.issn.1000-0801.2017023

您当前的位置：

首页 >

文章列表页 >

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

Research and development | 更新时间：2024-06-05

- Person re-identification using mid-level features with vertical global appearance constraint
- Telecommunications Science Vol. 33, Issue 4, Pages: 114-125(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2017023
  CLC： TP391
- Published Online：2017-04，
  
  Published：20 April 2017
- 稿件说明：
移动端阅览
Yadong WANG, Rong ZHANG, Huihui JIANG, et al. Person re-identification using mid-level features with vertical global appearance constraint[J]. Telecommunications science, 2017, 33(4): 114-125.
DOI：

Yadong WANG, Rong ZHANG, Huihui JIANG, et al. Person re-identification using mid-level features with vertical global appearance constraint[J]. Telecommunications science, 2017, 33(4): 114-125. DOI： 10.11959/j.issn.1000-0801.2017023.

摘要

行人再识别问题中，包含语义信息的中层特征能够提供更强的判别力。由于中层特征也采用局部匹配方式，与底层特征一样存在由于不同行人部分表观区域比较相似而产生误匹配问题。考虑到行人几乎都处于站立姿态，同一行人在垂直方向上的表观序列比不同行人的更相似，提出了在中层特征的基础上引入行人垂直全局表观约束，并融合底层稠密块匹配的识别方法。实验结果表明，算法在最具挑战的公用VIPeR数据库和CUHK01数据库上，均取得了比现有方法更高的命中率。

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.

关键词

Keywords

references

VEZZANI R , BALTIERI D , CUCCHIARA R . People reidentification in surveillance and forensics:a survey [J ] . ACM Computing Surveys , 2013 , 46 ( 2 ): 1 - 37 .

WANG X , ZHAO R . Person re-identification:system design and evaluation overview [M ] . Berlin:Springer-Verlag , 2014 : 351 - 370 .

黄凯奇，陈晓棠，康运锋，等 . 智能视频监控技术综述 [J ] . 计算机学报， 2015 , 38 ( 6 ): 1093 - 1118 .

HUANG K Q , CHEN X T , KANG Y F , et al . Intelligent visual surveillance:a review [J ] . Chinese Journal of Computers , 2015 , 38 ( 6 ): 1093 - 1118 .

ZHAO R , OUYANG W , WANG X . Unsupervised salience learning for person re-identification [C ] // CVPR , June 25 - 27 , 2013 , Portland,Oregon . New Jersey : IEEE Press , 2013 : 3586 - 3593 .

ZHAO R , OUYANG W , WANG X . Person re-identification by salience matching [C ] // IEEE International Conference on Computer Vision , December 1 - 8 , 2013 , Sydney,Australia . New Jersey : IEEE Press , 2013 : 2528 - 2535 .

陈普强，郭立君，张荣，等 . 基于全局空间约束块匹配的目标人体识别 [J ] . 计算机研究与发展， 2015 ( 3 ): 596 - 605 .

CHEN P Q , GUO L J , ZHANG R , et al . Patch matching with global spatial constraints for person re-identification [J ] . Journal of Computer Research and Development , 2015 ( 3 ): 596 - 605 .

FARENZENA M , BAZZANI L , PERINA A , et al . Person re-identification by symmetry-driven accumulation of local features [C ] // CVPR , June 13 - 18 , 2013 , San Francisco,California,USA . New Jersey : IEEE Press , 2010 : 2360 - 2367 .

CHENG D S , CRISTANI M , STOPPA M , et al . Custom pictorial structures for re-identification [C ] // BMVC , August 22 - September 2 , 2011 , Dundee,USA . New Jersey : IEEE Press , 2011 , 1 ( 2 ): 6 .

PROSSER B , ZHENG W S , GONG S , et al . Person re-identification by support vector ranking [C ] // BMVC , April 4 - 9 , 2010 , New York,USA . New Jersey : IEEE Press , 2010 : 6 .

SINGH S , GUPTA A , EFROS A A . Unsupervised discovery of mid-level discriminative patches [M ] . Berlin : Springer Heidelberg , 2012 : 73 - 86 .

JAIN A , GUPTA A , RODRIGUEZ M , et al . Representing videos using mid-level discriminative patches [C ] // CVPR , June 25 - 27 , 2013 , Portland,Oregon . New Jersey : IEEE Press , 2013 : 2571 - 2578 .

LAYNE R , HOSPEDALES T M , GONG S , et al . Person re-identification by attributes [C ] // BMVC , April 11 - 17 , 2012 , Surrey,USA New Jersey : IEEE Press , 2012 : 8 .

LIU X , SONG M , ZHAO Q , et al . Attribute-restricted latent topic model for person re-identification [J ] . Pattern Recognition , 2012 , 45 ( 12 ): 4204 - 4213 .

ZHAO R , OUYANG W , WANG X , et al . Learning mid-level filters for person re-identification [C ] // IEEE Conference on Computer Vision and Pattern Recognition , June 24 - 27 , 2014 , Columbus,Ohio,USA . New Jersey : IEEE Press , 2014 : 144 - 151 .

MA K , BEN-ARIE J . Vector array based multi-view face detection with compound exemplars [C ] // 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , October 11 - 13 , 2012 , Providence,USA . New Jersey : IEEE Press , 2012 : 3186 - 3193 .

HU Y , LIAO S , LEI Z , et al . Exploring structural information and fusing multiple features for person re-identification [C ] // CVPR , June 25 - 27 , 2013 , Oregon,Portland . New Jersey : IEEE Press , 2013 : 794 - 799 .

ZHENG W S , GONG S , XIANG T . Reidentification by relative distance comparison [J ] . IEEE transactions on Pattern Analysis and Machine Intelligence , 2013 , 35 ( 3 ): 653 - 668 .

LI Z , CHANG S , LIANG F , et al . Learning locally-adaptive decision functions for person verification [C ] // Conference on Computer Vision and Pattern Recognition , June 25 - 27 , 2013 , Portland,Oregon . New Jersey : IEEE Press , 2013 : 3610 - 3617 .

ZHANG W , WANG X , ZHAO D , et al . Graph degree linkage:agglomerative clustering on a directed graph [C ] // European Conference on Computer Vision , April 11 - 14 , 2012 , Berlin,German . Berlin : Springer , 2012 : 428 - 441 .

YANG Y , RAMANNAN D . Articulated pose estimation with flexible mixtures-of-parts [C ] // IEEE Conference on Computer Vision and Pattern Recognition , June 20 - 25 , 2011 , Colorado Springs,USA . New Jersey : IEEE Press , 2011 : 1385 - 1392 .

PEDAGADI S , ORWELL J , VELASTIN S , et al . Local fisher discriminant analysis for pedestrian re-identification [C ] // CVPR , June 25 - 27 , 2013 : 3318 - 3325 .

KÖSTINGER M , HIRZER M , WOHLHART P , et al . Large scale metric learning from equivalence constraints [C ] // Conference on Computer Vision and Pattern Recognition,Providence , June 16 - 21 , 2012 , Providence,RI,USA . New Jersey : IEEE Press , 2012 : 2288 - 2295 .

ZHENG W S , GONG S , XIANG T . Person re-identification by probabilistic relative distance comparison [C ] // Conference on Computer Vision and Pattern recognition , June 20 - 25 , 2011 , Colorado Springs,USA . New Jersey : IEEE Press , 2011 : 649 - 656 .

MIGNON A , JURIE F . PCCA:a new approach for distance learning from sparse pairwise constraints [C ] // Conference on Computer Vision and Pattern Recognition , June 16 - 21 , 2012 , Providence,RI,USA . New Jersey : IEEE Press , 2012 : 2666 - 2672 .

LI W , ZHAO R , WANG X . Human reidentification with transferred metric learning [C ] // Asian Conference on Computer Vision , March 1 - 5 , 2012 , Berlin,German . New Jersey : IEEE Press , 2012 : 31 - 44 .

Views

801

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰