Open AccessDifferent Techniques for Person Re-Identification: A Review
Author(s) -
O. S. Reshma,
Reshma Sheik
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.1.2126
Subject(s) - identification (biology) , viewpoints , computer science , artificial intelligence , matching (statistics) , task (project management) , computer vision , engineering , mathematics , art , visual arts , statistics , botany , systems engineering , biology
In investigation, person re-identification is also a tough task of matching persons determined from utterly completely different camera views. It is necessary applications in AI, threat detection, human trailing and activity analysis. Person re-identification is also a tough analysis topic as a result of partial occlusions, low resolution images and massive illumination changes. Also, person determined from utterly completely different camera views has very important variations on poses and viewpoints. This paper summarises the challenges related to the person re-identification jointly discuss varied techniques utilized person re-identification.