Person re-identification (Re-Id) across nonoverlapping camera views is one of challenging
problems in surveillance video analysis. The difficulties in person Re-Id mainly come from …

Person reidentification (re-id), as an important task in video surveillance and forensics
applications, has been widely studied. Previous research efforts toward solving the person …

Person re-identification (Re-ID) aims to search for the same pedestrian in different cameras,
which is a crucial research direction in pattern recognition. Recent deep learning methods …

Person re-identification (re-id) is one of the hottest research topics due to its great value in
video analysis applications, such as indoor security and road surveillance. It has been …

Person Re-Identification (Re-Id) is among the main constituents of an automated visual
surveillance system. It aims at finding out true matches of a given query person from a large …

Person re-identification has important applications in video surveillance. It is particularly
challenging because observed pedestrians undergo significant variations across camera …

Person re-identification (re-ID) aims to robustly measure visual affinities between person
images. It has wide applications in intelligent surveillance by associating same persons' …

To tackle the re-identification challenges existing methods propose to directly match image
features or to learn the transformation of features that undergoes between two cameras …

The human visual system can recognize a person based on his physical appearance, even
if extreme spatio-temporal variations exist. However, the surveillance system deployed so far …

Matching people across various camera views at different times and locations is called
person re-identification (re-id). Despite remarkable recent advances in the field, the problem …