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 …

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) is a fundamental subject in the field of the computer vision
technologies. The traditional methods of person Re‐ID have difficulty in solving the …

Person re-identification (re-ID), which aims to re-identify people across different camera
views, has been significantly advanced by deep learning in recent years, particularly with …

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 …

Person re-identification systems (person Re-ID) have recently gained more attention
between computer vision researchers. They are playing a key role in intelligent visual …

In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

Extracting effective and discriminative features is highly important for addressing the
challenges of person re-identification (re-ID). At present, deep convolutional neural networks …

Existing person re-identification (re-id) methods rely mostly on either localised or global
feature representation alone. This ignores their joint benefit and mutual complementary …

Despite the promising progress made in recent years, person reidentification (re-ID) remains
a challenging task due to the complex variations in human appearances from different …