The past decade has been characterized by the growing volumes of data due to the
widespread use of the Internet of Things (IoT) applications, which introduced many …

In recent years, the number of sensor and actuator nodes in the Internet of Things (IoT)
networks has increased, generating a large amount of data. Most research techniques are …

In real-time object tracking systems, it is essential to assign a unique identifier or label to
each tracked object to distinguish it from other objects to reduce the number of ID switching …

IoT technology implies a huge group of connected devices to capture a tremendous quantity
of information. Computing and storing this huge amount of data requires scalable and …

Nowadays, to ensure people's and property's safety, cities have dozens of cameras installed
on almost every corner. However, the haphazard deployment of these cameras often results …

The work presented in this Ph. D. thesis focuses on developing a large-scale distributed
video surveillance system for tracking suspicious moving objects and analysing their …

Unmanned Aerial Vehicles (UAVs) have been progressively used in environmental
monitoring and disaster sensing. The drones fly over a set of waypoints in the area to …

This paper addresses the issue of the real-time tracking quality of moving objects in large-
scale video surveillance systems. During the tracking process, the system assigns an …

Real-time object tracking is still a critical challenge in artificial vision research. In such a
mission, it is essential to assign a unique identifier or label to each tracked object …

In recent years, IoT networks are producing a huge amount of data as the number of
sensors, actuators, and IoT enabled devices are increasing day‐by‐day. Different …