Different Techniques for Person Re-Identification: A Review

Authors

  • O. S. Reshma Department of Computer Science and Engineering, TKMCE, Kollam, Kerala, India
  • Reshma Sheik Department of Computer Science and Engineering, TKMCE, Kollam, Kerala, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.1.2126

Keywords:

Gaussian Mixture Model (GMM), Video-Surveillance, Histogram of Oriented Gradients (HOG), Bidirectional Ranking

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.

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Published

11-01-2019

How to Cite

Reshma, O. S., & Sheik, R. (2019). Different Techniques for Person Re-Identification: A Review. Asian Journal of Computer Science and Technology, 8(1), 13–17. https://doi.org/10.51983/ajcst-2019.8.1.2126