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 …

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 …

Existing multi target multi camera tracking (MTMCT) datasets are small in terms of the
number of identities and video lengths. The creation of new real world datasets is hard as …

Due to the expanding scale of camera networks, Multiple Camera Tracking (MCT) of
humans has received increased attention in recent years. In this paper, we present a novel …

Multi-target multi-camera tracking is a crucial task that involves identifying and tracking
individuals over time using video streams from multiple cameras. This task has practical …

The fast improvement of deep learning methods resulted in breakthroughs in image
classification, object detection, and object tracking. Autonomous driving and traffic …

In this study, we present a set of new evaluation measures for the track-based multi-camera
tracking (T-MCT) task leveraging the clustering measurements. We demonstrate that the …

Today, the cutting edge of computer vision research greatly depends on the availability of
large datasets, which are critical for effectively training and testing new methods. Manually …

In this framework, face is distinguished and perceived while the video is real time, to
recognize the individual amongst difficulties. This recommends comparing people on either …