Person Re-Identification
- URL: http://arxiv.org/abs/2204.13158v1
- Date: Wed, 27 Apr 2022 19:37:42 GMT
- Title: Person Re-Identification
- Authors: Mustafa Ebrahim Chasmai and Tamajit Banerjee
- Abstract summary: Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications.
We experiment on some existing Re-ID methods that obtain state of the art performance in some open benchmarks.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Person Re-Identification (Re-ID) is an important problem in computer
vision-based surveillance applications, in which one aims to identify a person
across different surveillance photographs taken from different cameras having
varying orientations and field of views. Due to the increasing demand for
intelligent video surveillance, Re-ID has gained significant interest in the
computer vision community. In this work, we experiment on some existing Re-ID
methods that obtain state of the art performance in some open benchmarks. We
qualitatively and quantitaively analyse their performance on a provided
dataset, and then propose methods to improve the results. This work was the
report submitted for COL780 final project at IIT Delhi.
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