Survey on person re-identification based on deep learning

• 作者: Haolin Wang Kejun Wang Meichen Liu Tian Han Xianglei Xing
• 来源期刊: 智能技术学报
• 学科: 社会科学
• 关键词: PERSON re-identification
• 年，卷（期）: znjsxb_2018,（4）
• 页码范围: 219-227
• 页数: 9页
• 分类号: G

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.