Survey on person re-identification based on deep learning

CAAI Transactions on Intelligence Technology

article

Kejun Wang¹  Haolin Wang¹  Meichen Liu¹  Xianglei Xing¹  Tian Han² 

[1] College of Automation, Harbin Engineering University;Department of Statistics, University of California

关键词: computer vision;    learning (artificial intelligence);    image matching;    image representation;    feature extraction;    deep learning;    computer vision technologies;    person illumination;    occlusion;    attitude change;    person Re-ID research;    person Re-ID methods;    person reidentification;    person Re-ID frameworks;    person matching;    feature-based method;    metric-based method;    person representation;    B6135E Image recognition;    C5260B Computer vision and image processing techniques;    C6170K Knowledge engineering techniques;   

DOI  :  10.1049/trit.2018.1001

学科分类：数学（综合）

来源: Wiley

【 摘 要 】

Person re-identification (Re-ID) is a fundamental subject in the field of the computer vision technologies. The traditional methods of person Re-ID have difficulty in solving the problems of person illumination, occlusion and attitude change under complex background. Meanwhile, the introduction of deep learning opens a new way of person Re-ID research and becomes a hot spot in this field. This study reviews the traditional methods of person Re-ID, then the authors focus on the related papers about different person Re-ID frameworks on the basis of deep learning, and discusses their advantages and disadvantages. Finally, they propose the direction of further research, especially the prospect of person Re-ID methods based on deep learning.

【 授权许可】

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