Abstract Multi-camera Multi-Object Tracking has drawn significant attention in recent years
due to its critical role in surveillance analytics and related fields. Various challenges …

Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision
has been challenging for several reasons. More specifically, short-term re-identification …

Deep learning-based object detectors have driven notable progress in multi-object tracking
algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns in …

Multi-camera multiple people tracking has become an increasingly important area of
research due to the growing demand for accurate and efficient indoor people tracking …

Multi-object tracking in sports scenarios has become one of the focal points in computer
vision, experiencing significant advancements through the integration of deep learning …

Multi-Camera Multi-Vehicle Tracking (MCMVT) is a critical task in Intelligent Transportation
Systems (ITS). Differently to in urban environments, challenges in highway tunnel MCMVT …

Tracking vehicles across a city using a network of multiple cameras are pivotal for
enhancing urban and traffic management systems. However, this task is riddled with …