ABSTRACT Re-identification (Re-ID) is a process that seeks to identify concern individuals
from successive non-overlapping photographs. The area of computer vision has recently …

Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …

Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …

In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …

Unsupervised person re-identification (re-ID) aims to train a discriminative model without
identity annotations. State-of-the-art methods usually follow a clustering-based pipeline …

Person re-identification (Re-ID) models usually present a limited performance when they are
trained on one dataset and tested on another dataset due to the inter-dataset bias (eg …

Person Re-Identification (Re-ID) has been paid more attention due to its wide application in
intelligent surveillance systems. Finding the same person from other non-overlapping …

The superiority of deeply learned pedestrian representations has been reported in very
recent literature of person re-identification (re-ID). In this article, we consider the more …

Most existing person re-identification (re-id) methods are unsuitable for real-world
deployment due to two reasons: Unscalability to large population size, and Inadaptability …

Person re-identification (Re-ID) has attracted considerable attention within the field of
biometrics in recent times, driven by an escalating demand in public communities, marketing …