Abstract Multi-Target Multi-Camera Tracking (MTMCT) tracks many people through video
taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images …

To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a
new pair of precision-recall measures of performance that treats errors of all types uniformly …

Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …

The huge variance of human pose and the misalignment of detected human images
significantly increase the difficulty of person Re-Identification (Re-ID). Moreover, efficient Re …

Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

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 has achieved great progress with deep convolutional neural
networks. However, most previous methods focus on learning individual appearance feature …

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 …

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 …

Current person re-identification (ReID) methods typically rely on single-frame imagery
features, whilst ignoring space-time information from image sequences often available in the …