Survey of person re-identification technology based on deep learning
WEI Wenyu1, YANG Wenzhong1, MA Guoxiang2, HUANG Mei1
1. College of Information Science and Engineering, Xinjiang University, Urumqi Xinjiang 830046, China; 2. School of Software, Xinjiang University, Urumqi Xinjiang 830046, China
Abstract：As one of intelligent video surveillance technologies, person Re-identification (Re-id) has great research significance for maintaining social order and stability, and it aims to retrieve the specific person in different camera views. For traditional hand-crafted feature methods are difficult to address the complex camera environment problem in person Re-id task, a large number of deep learning-based person Re-id methods were proposed, so as to promote the development of person Re-id technology greatly. In order to deeply understand the person Re-id technology based on deep learning, a large number of related literature were collated and analyzed. First, a comprehensive introduction was given from three aspects: image, video and cross-modality. The image-based person Re-id technology was divided into two categories: supervised and unsupervised, and the two categories were generalized respectively. Then, some related datasets were listed, and the performance of some algorithms in recent years on image and video datasets were compared and analyzed. At last, the development difficulties of person Re-id technology were summarized, and the possible future research directions of this technology were discussed.
魏文钰, 杨文忠, 马国祥, 黄梅. 基于深度学习的行人再识别技术研究综述[J]. 计算机应用, 2020, 40(9): 2479-2492.
WEI Wenyu, YANG Wenzhong, MA Guoxiang, HUANG Mei. Survey of person re-identification technology based on deep learning. Journal of Computer Applications, 2020, 40(9): 2479-2492.
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2020, Vol. 40 
