Recent Advances in Person Re-identification Based on Deep Learning
Person re-identification can identify and match persons with the same identity as the target person in cross-camera scenarios,providing strong technical support for traffic management,public safety,smart city construction,etc.Aiming at the practical application needs of person re-identification,this paper first systematically introduces and summarizes person re-identification,including the research status,datasets,and evaluation indicators of person re-identification.Afterwards,this paper summarizes and analyzes the cutting-edge research in three areas:unsupervised person re-identification,cloth-changing person re-identification,and occluded person re-identification,while their current development status is summarized,and the existing methods in each direction are sorted out and compared.Finally,the development trend of person re-identification is analyzed and prospected.This paper reviews person re-identification methods,hoping to provide reference and help for researchers to further carry out relevant research in the field of person re-identification and promote the development of person re-identification technology.
person re-identificationunsupervised person re-identificationcloth-changing person re-identificationoccluded person re-identification
万方数据
维普
