Internet of Things (IoT) and artificial intelligence (AI) can realize the concept of “smart city.”
Video surveillance in smart cities is, usually, based on a centralized framework in which …

Featured Application Splitting of formerly only integrated inference from object recognition
and other trained (and potentially untrained) machine learning approaches has broad …

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 …

Surveillance systems are critical for the growth of smart cities. These systems can be thought
of as the cities' vision organs. It is anticipated that smart cities will produce a massive amount …

Video streaming solutions have increased their importance in the last decade, enabling
video on demand (VoD) services. Among several innovative services, 5G and Beyond 5G …

The proposed method of using Machine Learning in Motion Detection and Pedestrian
Tracking-assisted Intelligent Video Surveillance Systems (ML-IVSS) can be seen as an …

Security has been a significant concern in every aspect of life. Traditional surveillance
systems require a huge amount of storage capacity to save recorded videos. Moreover, as …

Companies that produce energy transmit it to any or all households via a power grid, which
is a regulated power transmission hub that acts as a middleman. When a power grid fails …

There has been a surge in criminal activity due to rapid urbanization, which poses a threat to
community safety. Centralized video surveillance systems using computer vision have been …

The Internet of Things is helping humans to automate life by providing different tools and
making it more easier. It can also be viewed as things connected in a network. This network …