Surveillance camera systems have been implemented in most parts of the world to combat
the rising rate of criminal activities. In the hopes of making public places safer for everyone …

Security camera-based surveillance systems are becoming the main tool in public settings,
utilizing computer vision and machine learning techniques for diverse applications in safety …

Automatic violence detection in video surveillance is essential for social and personal
security. Monitoring the large number of surveillance cameras used in public and private …

The paper presents an approach to crowd behaviour recognition in surveillance videos. The
approach is based on a 4-stage pipelined multi-person tracker adapted to microscopic …

The identification and classification of collective people's activities are gaining momentum
as significant themes in machine learning, with many potential applications emerging. The …

The worldwide utilization of surveillance cameras in smart cities has enabled researchers to
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …

Violence harms our environment and generates social discontent. The number of violent
crimes, from regular street fights to shootings and mass murders, has continuously …

Action recognition is a sub-branch of Computer vision and it has been studied in many
areas. Since the 1980s, many different applications have been studied on the study of …

The world is witnessing a vast increase in the crime rate, accompanied by severe losses of
lives and property. Surveillance cameras are present everywhere. However, human …

The COVID-19 pandemic has imposed significant challenges on countries all over the world.
The main goal of this thesis is to investigate the use of computer vision and deep learning …