A novel approach to detect and localise anomalous events in crowed scenes by processing
surveillance videos is introduced in this study. Unusual events are those that significantly …

Descriptors are important for quantifying crowd behavior. The existing descriptors generally
provide information about crowd density, ie, number of people/objects present in a defined …

A new approach is proposed to analysis and localize abnormal events in crowded scenes,
such us detecting suspicious behavior, sudden assemble and dispersion of pedestrian in …

With the increasing focus on safety and security in public areas, anomaly detection in video
surveillance systems has become increasingly more important. In this paper, we describe a …

Surveillance of crowded public spaces and detection of anomalies from the video is
important for public safety and security. While anomaly detection is possible by detection …

Automated analysis of crowd behavior for anomaly detection has become an important issue
to ensure the safety and security of the public spaces. Public spaces have varying people …