Multiple object tracking (MOT) in unmanned aerial vehicle (UAV) videos is a fundamental
task and can be applied in many fields. MOT consists of two critical procedures, ie, object …

This paper presents an indoor person localization and tracking system that uses multiple
smart cameras equipped with artificial intelligence (AI) accelerators serving as edge …

In the age of the Internet of Things (IoT), the combination of robotics and artificial intelligence
has paved the way for the development of social robots able to undertake realistic …

The wide deployment of Internet of Things (IoT) cameras combined with powerful deep
learning models for object detection and recognition will usher in a new generation of IoT …

Most video analytics applications rely on object detectors to localize objects in frames.
However, when real-time is a requirement, running the detector at all the frames is usually …

Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not
always feasible to run a detector on every frame. Thus, motion estimation systems are often …

The UAV-borne video SAR (ViSAR) imaging system requires miniaturization, low power
consumption, high frame rates, and high-resolution real-time imaging. In order to satisfy the …

As the importance of trajectory analysis arises in video surveillance, it becomes crucial to
define the dissimilarity measure between two trajectories. Although the Hausdorff distance …

Multi-Object Tracking (MOT) poses significant challenges in computer vision. Despite its
wide application in robotics, autonomous driving, and smart manufacturing, there is limited …

Extracting and matching Re-Identification (ReID) features is used by many state-of-the-art
(SOTA) Multiple Object Tracking (MOT) methods, particularly effective against frequent and …