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 …

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

Current person re-identification (re-id) methods typically rely on single-frame imagery
features, and ignore space-time information from image sequences. Single-frame (single …

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 …

Feature and metric researchings are two vital aspects in person re-identification. Metric
learning seems to have gained extra advantage over feature in recent evaluations. In this …

Person re‐identification across different surveillance cameras with disjoint fields of view has
become one of the most interesting and challenging subjects in the area of intelligent video …

Person re-identification (re-id) is a critical problem in video analytics applications such as
security and surveillance. The public release of several datasets and code for vision …

For making sense of the vast quantity of visual data generated by the rapid expansion of
large-scale distributed multi-camera systems, automated person re-identification is …

For person identification, motion and anthropometric biometrics are known to be less
sensitive to photometric differences and more robust to obstructions such as glasses, hair …