The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

The deep learning technique has proven to be effective in the classification and localization
of objects on the image or ground plane over time. The strength of the technique's features …

This paper focuses on the Multi-Target Multi-Camera Tracking task (MTMCT), which aims at
tracking multiple targets within a multi-camera network. As the trajectory of each target is …

Existing unsupervised person re-identification (re-id) methods mainly focus on cross-domain
adaptation or one-shot learning. Although they are more scalable than the supervised …

A multi-camera system combines features from different cameras to exploit a scene of an
event to increase the output image quality. The combination of two or more cameras …

Multi-view Multi-human association and tracking (MvMHAT) aims to track a group of people
over time in each view, as well as to identify the same person across different views at the …

Vehicle re-identification, multi-camera vehicle tracking, and anomaly detection are essential
for city-scale intelligent transportation systems. Both vehicle re-id and multi-camera tracking …

In this work, we have presented an end-to-end multi-person multi-camera tracking (MPMCT)
surveillance system and implemented it on edge analytics platform for real-time …

Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for
traffic monitoring, management, and optimization as the number of network cameras …

Pairwise preference information, which involves users expressing their preferences by
comparing items, plays a crucial role in decision-making and has recently found application …