Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

The field of surveillance and forensics research is currently shifting focus and is now
showing an ever increasing interest in the task of people reidentification. This is the task of …

Attention mechanisms have been found effective for person re-identification (Re-ID).
However, the learned" attentive" features are often not naturally uncorrelated or" diverse" …

Recently, person re-identification (Re-ID) has achieved great progress. However, current
methods largely depend on color appearance, which is not reliable when a person changes …

Most existing person re-identification (re-id) methods require supervised model learning
from a separate large set of pairwise labelled training data for every single camera pair. This …

Long-term re-id with clothes change is a challenging problem in surveillance AI. Currently,
its major bottleneck is that this field is still missing a large realistic benchmark. In this work …

Abstract Person Re-identification (ReID) is to identify the same person across different
cameras. It is a challenging task due to the large variations in person pose, occlusion …

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 …

Pedestrian analysis plays a vital role in intelligent video surveillance and is a key
component for security-centric computer vision systems. Despite that the convolutional …

Person re-identification (re-ID) is mostly viewed as an image retrieval problem. This task
aims to search a query person in a large image pool. In practice, person re-ID usually adopts …