Within this survey an attempt is made to document the present status of video surveillance
systems. The main components of a surveillance system are presented and studied …

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 (ReID) is an important task in video surveillance and has various
applications. It is non-trivial due to complex background clutters, varying illumination …

Since the person re-identification task often suffers from the problem of pose changes and
occlusions, some attentive local features are often suppressed when training CNNs. In this …

Recent efforts have shown promising results for person re-identification by designing part-
based architectures to allow a neural network to learn discriminative representations from …

We propose a novel methodology for re-identification, based on Pictorial Structures (PS).
Whenever face or other biometric information is missing, humans recognize an individual by …

Metric learning methods, for person re-identification, estimate a scaling for distances in a
vector space that is optimized for picking out observations of the same individual. This paper …

Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

Person re-identification is a fundamental task in automated video surveillance and has been
an area of intense research in the past few years. Given an image/video of a person taken …

Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …