Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

Any intelligent traffic monitoring system must be able to detect anomalies such as traffic
accidents in real-time. In this paper, we propose a Decision-Tree enabled approach …

In the recent past, a huge number of cameras have been placed in a variety of public and
private areas for the purposes of surveillance, the monitoring of abnormal human actions …

Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …

Anomaly detection in traffic videos has been recently gaining attention due to its importance
in intelligent transportation systems. Due to several factors such as weather, viewpoint …

Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …

Connected and Automated Vehicles (CAVs), owing to their characteristics such as seamless
and real-time transfer of data, are imperative infrastructural advancements to realize the …

Nowadays, there are outstanding strides towards a future with autonomous vehicles on our
roads. While the perception of autonomous vehicles performs well under closed-set …

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 …

The analysis of large amounts of multidimensional road traffic data for anomaly detection is
a complex task. Visual analytics can bridge the gap between computational and human …