Open Access

REVIEW

Review of Visible-Infrared Cross-Modality Person Re-Identification

by Yinyin Zhang^*

School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, 210044, China

* Corresponding Author: Yinyin Zhang. Email:

Journal of New Media 2023, 5(1), 23-31. https://doi.org/10.32604/jnm.2023.038580

Received 19 December 2022; Accepted 05 February 2023; Issue published 14 June 2023

Abstract

Person re-identification (ReID) is a sub-problem under image retrieval. It is a technology that uses computer vision to identify a specific pedestrian in a collection of pictures or videos. The pedestrian image under cross-device is taken from a monitored pedestrian image. At present, most ReID methods deal with the matching between visible and visible images, but with the continuous improvement of security monitoring system, more and more infrared cameras are used to monitor at night or in dim light. Due to the image differences between infrared camera and RGB camera, there is a huge visual difference between cross-modality images, so the traditional ReID method is difficult to apply in this scene. In view of this situation, studying the pedestrian matching between visible and infrared modalities is particularly crucial. Visible-infrared person re-identification (VI-ReID) was first proposed in 2017, and then attracted more and more attention, and many advanced methods emerged.

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Keywords

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