Person Re-Identification using Deep Learning Networks: A Systematic Review

12/24/2020
by   Ankit Yadav, et al.
3

Person re-identification has received a lot of attention from the research community in recent times. Due to its vital role in security based applications, person re-identification lies at the heart of research relevant to tracking robberies, preventing terrorist attacks and other security critical events. While the last decade has seen tremendous growth in re-id approaches, very little review literature exists to comprehend and summarize this progress. This review deals with the latest state-of-the-art deep learning based approaches for person re-identification. While the few existing re-id review works have analysed re-id techniques from a singular aspect, this review evaluates numerous re-id techniques from multiple deep learning aspects such as deep architecture types, common Re-Id challenges (variation in pose, lightning, view, scale, partial or complete occlusion, background clutter), multi-modal Re-Id, cross-domain Re-Id challenges, metric learning approaches and video Re-Id contributions. This review also includes several re-id benchmarks collected over the years, describing their characteristics, specifications and top re-id results obtained on them. The inclusion of the latest deep re-id works makes this a significant contribution to the re-id literature. Lastly, the conclusion and future directions are included.

READ FULL TEXT

page 2

page 3

page 5

page 12

page 13

page 16

page 17

page 24

research
02/26/2022

Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends

Person re-identification (Re-ID) is one of the primary components of an ...
research
03/21/2023

Deep Learning for Video-based Person Re-Identification: A Survey

Video-based person re-identification (video re-ID) has lately fascinated...
research
11/15/2022

Using Auxiliary Information for Person Re-Identification – A Tutorial Overview

Person re-identification (re-id) is a pivotal task within an intelligent...
research
05/31/2016

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

Person re-identification (re-id) is a critical problem in video analytic...
research
04/05/2022

Person search: New paradigm of person re-identification: A survey and outlook of recent works

Person Search (PS) has become a major field because of its need in commu...
research
06/04/2020

FastReID: A Pytorch Toolbox for Real-world Person Re-identification

We present FastReID, as a widely used object re-identification (re-id) s...
research
12/20/2022

Benchmarking person re-identification datasets and approaches for practical real-world implementations

Recently, Person Re-Identification (Re-ID) has received a lot of attenti...

Please sign up or login with your details

Forgot password? Click here to reset