Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

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 …

In this paper, we propose a new, simple, and effective Self-supervised Spatio-temporal
Transformers (SPARTAN) approach to Group Activity Recognition (GAR) using unlabeled …

Abstract Multi-Camera Multi-Object Tracking (MC-MOT) utilizes information from multiple
views to better handle problems with occlusion and crowded scenes. Recently, the use of …

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 …

Turn-taking has played an essential role in structuring the regulation of a conversation. The
task of identifying the main speaker (who is properly taking his/her turn of speaking) and the …

Abstract Multi-Camera Multi-Object Tracking is currently drawing attention in the computer
vision field due to its superior performance in real-world applications such as video …

Drones have been widely used in a variety of applications, eg, aerial photography and
military security, because of their high maneuverability and broad views compared with fixed …

Multi-object tracking (MOT) aims to associate target objects across video frames in order to
obtain entire moving trajectories. With the advancement of deep neural networks and the …

Multiple object tracking gained a lot of interest from researchers in recent years, and it has
become one of the trending problems in computer vision, especially with the recent …