New approach to people density estimation based on video surveillance

This paper presents an algorithm for precise estimation of people density in indoor and outdoor areas. Automatic generation of so-called people density maps is based on video sequences acquired by surveillance systems. Our approach offers two types of estimation algorithms. The first one increments accumulation matrix when a person is detected in a given location. The second algorithm increments the second accumulation matrix only in the case of detecting a new person. Proposed methods were tested with the use of PETS 2009 database and our database of long-term video recordings. Finally, the results of visualization and determination of the “busy hours” are presented.