Asian Journal of Computer Science and Technology (AJCST)
Different Techniques for Person Re-Identification: A Review
Author : O. S. Reshma and Reshma SheikVolume 8 No.1 January-March 2019 pp 13-17
Abstract
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.
Keywords
Gaussian Mixture Model (GMM), Video-Surveillance, Histogram of Oriented Gradients (HOG), Bidirectional Ranking
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