How to automatically monitor wide critical open areas is a challenge to be addressed.
Recent computer vision algorithms can be exploited to avoid the deployment of a large …

In recent decades, the growing deployment of Closed-Circuit Television (CCTV) systems for
crime prevention and facility security has accelerated the importance of intelligent …

With the increasing need to ensure people's safety in crowded areas, the development of a
systematic anomaly detection mechanism is becoming indispensable. Here are a few …

Anomaly detection has been an active research area for decades, with high application
potential. Recent work has explored deep learning approaches to the detection of abnormal …

In this thesis, we detect and track anomalies on the sidewalk using deep learning. The
proposed network consists of two parts: The first part is an object detection network, namely …

The world's expanding populace, the variety of human social factors, and the densely
populated environment make humans feel uncertain. Individuals need a safety officer who …

The performance of conventional surveillance systems is challenged by high error detection
rates in busy scenes, which has significantly affected the accurate detection of the current …

Keeping an overview of all ongoing processes on construction sites is almost unfeasible,
especially for the construction workers executing their tasks. It is difficult for workers to …

Anomaly detection in sequences is a complex problem in security and surveillance. With the
exponential growth of surveillance cameras in urban roads, automating them to analyze the …

The present work proposes a real-time multi-object detection and tracking system to be
implemented in commercial areas. The purpose is to gather and make sense of costumer …