Person reidentification consists of recognizing individuals across different sensors of a
camera network. Whereas clothing appearance cues are widely used, other modalities …

People re-identification is a fundamental operation for any multi-camera surveillance
scenario. Until now, it has been performed by exploiting primarily appearance cues …

Matching people in different camera views, commonly referred to as person re-identification,
is an inherently challenging task due to the appearance disparity caused by view change …

Learning about appearance embedding is of great importance for a variety of different
computer-vision applications, which has prompted a surge in person re-identification (Re-ID) …

Person re-identification (re-id) aims to match people across non-overlapping camera views.
So far the RGB-based appearance is widely used in most existing works. However, when …

In video-surveillance, person re-identification is the task of recognising whether an
individual has already been observed over a network of cameras. Typically, this is achieved …

Person re-identification aims to match person captured by multiple non-overlapping
cameras that mainly mean standard RGB cameras. In contemporary surveillance, cameras …

Automated person re-identification using only visual information from public-space CCTV
video is challenging for many reasons, such as poor resolution or challenges involved in …

Person re-identification is an important problem for associating behavior of people
monitored in surveillance camera networks. The fundamental challenges of person re …

Person re-identification is about recognizing people who have passed by a sensor earlier.
Previous work is mainly based on RGB data, but in this work we for the first time present a …