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 The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …

Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …

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 …

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

Smart City applications such as intelligent traffic routing, accident prevention or vehicle
surveillance rely on computer vision methods for exact vehicle localization and tracking …

Multi-target multi-camera tracking (MTMCT) is an important application in intelligent
transportation systems (ITS). The conventional works follow the tracking-by-detection …

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

This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a
framework for the continuous tracking of industrial entities (eg, pallets, crates, barrels) over a …

Multi-Camera Multi-Target Tracking (MCMT) is a computer vision technique that involves
tracking multiple targets simultaneously across multiple cameras. MCMT in urban traffic …