A brief survey for person re-identification based on deep learning. (7th November 2022)

• Record Type: Journal Article
• Authors: Liu, Li; Li, Xi; Lei, Xuemei
• Is Part Of: International journal of computer applications technology. Volume 69:Number 2(2022)
• Page Start: 101
• Page End: 111
• Publication Date: 2022-11-07
• Subjects: person re-identification -- deep learning -- literature survey -- evaluation metric; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

Abstract

Person Re-Identification (Re-ID) has been paid more attention due to its wide application in intelligent surveillance systems. Finding the same person from other non-overlapping cameras when a specific image of the pedestrian is given, which is a challenging problem for the reason of viewpoint variation, clothes changing, low resolution, etc. In this paper, we motivate reviewing for deep learning-based methods of Person Re-ID. We present a detailed survey of the state-of-the-art in terms of the description and analysis of supervised-based and unsupervised-based networks and their performance evaluation in the commonly used data sets. Finally, we analyse the challenging problems and discuss future works in this area.