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Person Re-Identification

2022-04-27 · Mustafa Ebrahim Chasmai, Tamajit Banerjee

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.

📄 PDF Abstract BibTeX arXiv:2204.13158

Code (5)

SiddhantKapil/LA-Transformer 공식 구현 pytorch
damo-cv/transreid 공식 구현 pytorch
michuanhaohao/AlignedReID 공식 구현 pytorch
nwojke/cosine_metric_learning 공식 구현 tf
2023-MindSpore-1/ms-code-224/tree/main/AlignedReID mindspore

Tasks

Person Re-Identification

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