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 …

The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …

Pose variation remains one of the major factors that adversely affect the accuracy of person
re-identification. Such variation is not arbitrary as body parts (eg head, torso, legs) have …

We address a new partial person re-identification (re-id) problem, where only a partial
observation of a person is available for matching across different non-overlapping camera …

Person re-identification is a fundamental task in automated video surveillance and has been
an area of intense research in the past few years. Given an image/video of a person taken …

Matching persons across non-overlapping cameras is a rather challenging task. Thus,
successful methods often build on complex feature representations or sophisticated …

Person re-identification (Re-ID) remains a challenging problem due to significant
appearance changes caused by variations in view angle, background clutter, illumination …

The interest of the research community in creating reference datasets for performance
analysis is always very high. Although new datasets, collecting large amounts of video …

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

Person re-identification (Re-ID) via gait features within 3D skeleton sequences is a newly-
emerging topic with several advantages. Existing solutions either rely on hand-crafted …