Abnormal behavior detection is challenging and one of the growing research areas in
computer vision. The main aim of this research work is to focus on panic and escape …

We introduce a novel method for abnormal crowd event detection in surveillance videos.
Particularly, our work focuses on panic and escape behavior detection that may appear …

In the present day, for the purpose of social security, video surveillance frameworks are
utilized in public places such as metro stations, temples, shopping malls, stadiums and so …

Nowadays, crowd scene becomes the most active-oriented research and trendy topic in
computer vision applications. However, panic behavior is the key suggestion of occurrence …

With the purpose of achieving automated detection of crowd abnormal behavior in public,
this paper discusses the category of typical crowd and individual behaviors and their …

Detecting a panic behavior within a human crowd is of a high importance as it allows to
prevent disasters. Online analysis of video streams, real-time processing and accurate …

Crowd Management and Abnormal crowd behavior detection is an important research topic
in computer vision. There are many instances in which thousands of people are killed due …

Aiming at the problem that the definition of crowd abnormal behavior detection is ambiguous
and difficult to combine with context semantics, an algorithm using OCC human emotion …

In recent years, malignant crowd incidents that endanger public safety occur frequently,
which alarms humans of the security in public areas. Focus on the detection of abnormal …

Abnormal behavior poses a great threat to social security and stability. The resulting
violence or crime leads to terrible consequences. How to utilize reasonable means to predict …