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Person Re-Identification

2022-04-27 19:37:42
Mustafa Ebrahim Chasmai, Tamajit Banerjee
arXiv_CV
         
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.

Abstract (translated)

URL

https://arxiv.org/abs/2204.13158

PDF

https://arxiv.org/pdf/2204.13158.pdf

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