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1 Foundations of Computing and Decision Sciences

1 2015

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New approach to traffic density estimation based on indoor and outdoor scenes from CCTV

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Chmielewska A. , Parzych M. , Marciniak T. , Dąbrowski A.

Foundations of Computing and Decision Sciences

2015

tom Vol. 40, No. 2

119--132

In this paper we present an algorithm for precise estimation of moving objects density (typically people and vehicles) in indoor and outdoor scenes. Automatic generation of the so-called density maps is based on video sequences acquired by surveillance systems. Our approach offers two types of solutions. The first one increments the accumulation table when a moving object is detected in a location of interest, delivering a density map of the presence of moving objects. The second algorithm increments the accumulation table only in cases of detecting a new moving object, resulting in a density map of the count of moving objects. The proposed algorithms were tested with the use of PETS 2009 database and with our own database of long-term video recordings. Finally, results of the density maps visualization and determination of the “busy hours” are presented.