ADABeV - Automatic Detection of Abnormal Behavior in Video-surveillance

2012 - 2015 / Author: Nour Charara

Ongoing project

The principal goal of this project is to design a framework for event recognition in crowded scene surveillance videos in order to automatically detect the abnormal human behavior, which is being executed in real time. Specifically, the work focuses on two main problems: 1) Automatic event analysis in scenes monitored by video surveillance cameras; 2) Detection of abnormal human behavior in crowded public scenes.

Keywords

Outcomes

 

Website of the project

 

Project Information