<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

New Approach To Traffic Density Estimation Based On Indoor And Outdoor Scenes From CCTV

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

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In this paper we present an algorithm for precise estimation of moving objects density (typically people and vehicles) in indoor and outdoor scenes. Automatic...

New Approach To Traffic Density Estimation Based On Indoor And Outdoor Scenes From CCTV

Publié en ligne: 16 mai 2015

Pages: 119 - 132

DOI: https://doi.org/10.1515/fcds-2015-0008

Mots clés
moving objects density estimation, traffic estimation, density maps, behaviour analysis, marketing spaces analysis, indoor and outdoor video surveillance

© Agata Chmielewska et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

New Approach To Traffic Density Estimation Based On Indoor And Outdoor Scenes From CCTV

Publié en ligne: 16 mai 2015

Pages: 119 - 132

DOI: https://doi.org/10.1515/fcds-2015-0008

Mots clésmoving objects density estimation, traffic estimation, density maps, behaviour analysis, marketing spaces analysis, indoor and outdoor video surveillance

© Agata Chmielewska et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
moving objects density estimation, traffic estimation, density maps, behaviour analysis, marketing spaces analysis, indoor and outdoor video surveillance