As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

Video anomaly detection (VAD) aims at localizing unexpected actions or activities in a video
sequence. Existing mainstream VAD techniques are based on either the one-class …

Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the
intelligent traffic management system (ITMS) is used to manage traffic on road networks …

The growing number of cars on city roads has led to an increase in traffic accidents,
highlighting the need for traffic safety measures. Mobile trajectory anomaly detection is an …

In recent years, the rapid development of deep learning approaches has paved the way to
explore the underlying factors that explain the data. In particular, several methods have …

With the recent rise in violent crime, the real-time situation analysis capabilities of the
prevalent closed-circuit television have been employed for the deterrence and resolution of …

Generative adversarial networks (GANs) represent a significant advance in the field of deep
learning for image generation problems. With their ability to generate highly realistic and …

The use of surveillance cameras is a common solution that addresses the need to provide
security and manage urban traffic that arises due to the increasing population in cities. As …

People across the world aspire to settle in urban areas for better opportunities in career,
education, and healthcare facilities. The increased proportion of people living in urban areas …