The algorithm for people counting in crowded scenes, based on the idea of virtual gate which uses optical flow method is presented. The concept and practical application of the developed algorithm under real conditions is depicted. The aim of the work is to estimate the number of people passing through entrances of a large sport hall. The most challenging problem was the unpredicted behavior of people while entering the building....

A concept and practical implementation of a crowd management system which acquires input data by the set of monitoring cameras is presented. Two leading threads are considered. First concerns the crowd behavior analysis. Second thread focuses on detection of a hold-ups in the doorway. The optical flow combined with soft computing methods (neural network) is employed to evaluate the type of crowd behavior, and fuzzy logic aids detection...

The concept and practical application of the developed algorithm forpeople counting in crowded scene is presented. The aim of the work is to estimatethe number of people passing towards entrances of a large sport hall. Thedetails of implemented the Virtual Gate algorithm are presented. The video signalfrom the camera installed in the building constituted the input for the algorithm.The most challenging problem was the unpredicted...