Video Analytics-Based Algorithm for Monitoring Egress from Buildings

A concept and practical implementation of the algorithm for detecting of potentially dangerous situations of crowding in passages is presented. An example of such situation is a crush which may be caused by obstructed pedestrian pathway. Surveillance video camera signal analysis performed on line is employed in order to detect hold-ups near bottlenecks like doorways or staircases. The details of implemented algorithm which uses optical flow method combined with fuzzy logic are explained. The implementation details are introduced with focus on the computing platform and parallel processing. The experiments were carried out on the set of gathered video recordings from the surveillance camera installed in the campus of Gdansk University of Technology. The results of experiments performed on gathered video recordings show that efficiency of the algorithm is high.

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