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

• Autorzy: Chmielewska A. , Parzych M. , Marciniak T. , Dąbrowski A.

Identyfikatory

DOI

10.1515/fcds-2015-0008

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

moving objects density estimation; traffic estimation; density maps; behaviour analysis; marketing spaces analysis; indoor and outdoor video surveillance

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2015
• Tom: Vol. 40, No. 2
• Strony: 119--132
• Opis fizyczny: Bibliogr. 24 poz., tab., rys.

Twórcy

autor

Chmielewska A.

• Faculty of Computing, Poznan University of Technology, Poznan, Poland

autor

Parzych M.

• Faculty of Computing, Poznan University of Technology, Poznan, Poland

autor

Marciniak T.

• Faculty of Computing, Poznan University of Technology, Poznan, Poland

autor

Dąbrowski A.

• Faculty of Computing, Poznan University of Technology, Poznan, Poland

Bibliografia

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