The variable time-dependent densities in crowd motion and several occlusions in real
scenarios make the task of spotting anomalies very laborious. Also, an anomalous entity can …

Abnormal crowd behaviour detection attracts a large interest due to its importance in video
surveillance scenarios. However, the ambiguity and the lack of sufficient abnormal ground …

Drones connected via the web are increasingly being used for crowd anomaly detection
(CAD). Existing solutions, however, face many challenges, such as low accuracy and high …

Anomaly detection in crowd videos has become a popular area of research for the computer
vision community. Several existing methods generally perform a prior training about the …

Anomaly detection in crowd videos has become a popular area of research for the computer
vision community. Several existing methods have determined anomaly as a deviation from …

Abnormality detection in crowded scenes plays a very important role in automatic monitoring
of surveillance feeds. Here we present a novel framework for abnormality detection in crowd …

Crowd anomaly detection is crucial in enhancing surveillance and crowd management. This
paper proposes an efficient approach that combines spatial and temporal visual descriptors …

Most of the crowd abnormal event detection methods rely on complex hand-crafted features
to represent the crowd motion and appearance. Convolutional Neural Networks (CNN) have …

As a significant research hotspot in the field of computer vision, video anomaly detection
plays an essential role in ensuring public safety. Anomaly detection remains a challenging …

Real time crowd anomaly detection and analyses has become an active and challenging
area of research in computer vision since the last decade. The emerging need of crowd …