Automatic crowd scene analysis and anomaly detection from video surveillance cameras

Walid Gomaa

Egypt-Japan University, Alexandria
Luigi Stasi Seminar Room, ICTP
Thursday, March 15, 2018 - 14:00

Crowd activities and behaviors have significantly expanded in our daily life due to the massive increase in population and technological advances. This growth has forced governments and authorities to hold more attention on these types of scenes particularly, for crowd management and security issues. Therefore, analysis of crowded scenes has become one of the most attractive topics in the computer vision and pattern recognition community. In this talk we introduce crowd scene analysis through an approach that we have developed based on extracting short trajectories (tracklets) and clustering them into coherent groups to form motion pathways.

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