Event detection and classification in video surveillance sequences

Authors:
Vasileios Chasanis;Aristidis Likas
Affiliations:
Department of Computer Science, University of Ioannina, Ioannina, Greece;Department of Computer Science, University of Ioannina, Ioannina, Greece
Venue:
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Year:
2010

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Abstract

In this paper, we present a system for event recognition and classification in video surveillance sequences First, local invariant descriptors of video frames are employed to remove background information and segment the video into events Next, visual word histograms are computed for each video event and used to define a distance measure between events Finally, machine learning techniques are employed to classify events into predefined categories Numerical experiments indicate that the proposed approach provides high event detection and classification rates.