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 …

One of the recent trends in vision problems is to use natural language captions to describe
the objects of interest. This approach can overcome some limitations of traditional methods …

In the realm of computer vision, Group Activity Recognition (GAR) plays a vital role, finding
applications in sports video analysis, surveillance, and social scene understanding. This …

Efficient and reliable 3D object detection via multi-view cameras is pivotal for improving the
safety and facilitating the cost-effective deployment of autonomous driving systems …

Timely awareness of jamming situations and classification of jamming categories are vital for
radars to suppress jamming, ensure viability, and maintain functions in complex …

This study aims to tackle Multiple Object Tracking (MOT), an essential problem in computer
vision that remains challenging due to many practical issues, especially occlusions. Indeed …

Multiple Object Tracking (MOT) aims to find bounding boxes and identities of targeted
objects in consecutive video frames. While fully-supervised MOT methods have achieved …

Object tracking is a fundamental task in computer vision, requiring the localization of objects
of interest across video frames. Diffusion models have shown remarkable capabilities in …

Object tracking, especially animal tracking, is one of the key topics that attract a lot of
attention due to its benefits of animal behavior understanding and monitoring. Recent state …

In crowded and multi-camera surveillance scenarios, ensuring accurate tracking of
individuals across different camera views is a complex challenge. A multi-faceted approach …