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 …

A multi-camera system combines features from different cameras to exploit a scene of an
event to increase the output image quality. The combination of two or more cameras …

When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …

Person re-identification is a challenging retrieval task that requires matching a person's
acquired image across non-overlapping camera views. In this paper we propose an effective …

Person reidentification is a key technique to match different persons observed in
nonoverlapping camera views. Many researchers treat it as a special object-retrieval …

As re-ranking is a necessary procedure to boost person re-identification (re-ID) performance
on large-scale datasets, the diversity of feature becomes crucial to person reID for its …

This paper proposes a novel and efficient re-ranking technque to solve the person re-
identification problem in the surveillance application. Previous methods treat person re …

Recently, near-infrared (NIR) images are increasingly being captured for recognizing faces
in low-light/night-time conditions. Matching these images against the controlled high …

Ubiquitousness of multiple cameras in surveillance systems is very beneficial for studying
peoples behavior. The multiple views of the observed scene permit the management of …

Most existing re-identification methods focus on learning robust and discriminative features
with deep convolution networks. However, many of them consider content similarity …