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 …

Abstract Domain adaptation in person re-identification (re-ID) has always been a
challenging task. In this work, we explore how to harness the similar natural characteristics …

For clustering-guided fully unsupervised person reidentification (re-ID) methods, the quality
of pseudo labels generated by clustering directly decides the model performance. In order to …

Person re-identification (re-ID) poses unique challenges for unsupervised domain
adaptation (UDA) in that classes in the source and target sets (domains) are entirely different …

The study of gait recognition, a biometric application that identifies individuals based on their
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …

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 …

Describing the color and textural information of a person image is one of the most crucial
aspects of person re-identification. In this paper, we present a novel descriptor based on a …

Person re-identification is an important technique towards automatic search of a person's
presence in a surveillance video. Two fundamental problems are critical for person re …

While discriminative local features have been shown effective in solving the person re-
identification problem, they are limited to be trained on fully pairwise labelled data which is …