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 …

Multi-camera tracking of vehicles on a city-scale level is a crucial task for efficient traffic
monitoring. Most of the errors made by such multi-target multi-camera tracking systems arise …

Multi-target multi-camera tracking of persons in indoor scenarios such as retail stores or
warehouses enables efficient placement of products and improvement of working …

The implementation of multi-target multi-camera tracking systems in indoor environments
including shops and warehouses facilitates strategic product positioning and the …

Multi-camera people tracking (MCPT) is a challenging task that is crucial for develo**
intelligent surveillance applications. In this work, we propose an MCPT system for Challenge …

Multi-camera person tracking has gained significant attention in recent times, owing to its
widespread application in surveillance scenarios. However, this task is challenging due to …

The rapidly increasing number of surveillance cameras offers a variety of opportunities for
intelligent video analytics to improve public safety. Among many others, the automatic …

In this paper, we present the Multi-view Extended Videos with Identities (MEVID) dataset for
large-scale, video person re-identification (ReID) in the wild. To our knowledge, MEVID …

Multi-camera tracking (MCT) plays a crucial role in various computer vision applications.
However accurate tracking of individuals across multiple cameras faces challenges …

Multi-camera tracking of vehicles on a city-wide level is a core component of modern traffic
monitoring systems. For this task, single-camera tracking failures are the most common …