Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

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 …

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, a branch of image retrieval, is an increasingly important public
safety application. When monitoring larger areas, it is crucial to correctly match the same …

Person re-identification across multiple cameras is an essential task in computer vision
applications, particularly tracking the same person in different scenes. Gait recognition …

Human re-identification across cameras with non-overlap** fields of view is one of the
most important and difficult problems in video surveillance and analysis. However, current …

This paper addresses a new person re-identification problem without the label information of
persons under non-overlap** target cameras. Given the matched (positive) and …

This paper addresses a new person reidentification problem without label information of
persons under nonoverlap** target cameras. Given the matched (positive) and …

Person re-identification aims to match people across non-overlap** camera views, which
is an important but challenging task in video surveillance. In order to obtain a robust metric …

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 …