Crowd density estimation based on voxel model in multi-view surveillance systems

In this paper, a novel crowd density estimation method based on voxel modeling in multi-view surveillance systems is presented. The approach proposed in this paper is based on human silhouette modeling with an anthropometric cylinder. The performance of crowd density estimation was analyzed on two m...

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Bibliographic Details
Published in2015 International Conference on Systems, Signals and Image Processing (IWSSIP) pp. 216 - 219
Main Authors Gardzinski, Pawel, Kowalak, Krzysztof, Kaminski, Lukasz, Mackowiak, Slawomir
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2015
Subjects
Calibration
Cameras
Chebyshev approximation
Conferences
Crowd density estimation
Estimation
Multi-view
Positron emission tomography
Surveillance
Voxel modeling
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Summary:In this paper, a novel crowd density estimation method based on voxel modeling in multi-view surveillance systems is presented. The approach proposed in this paper is based on human silhouette modeling with an anthropometric cylinder. The performance of crowd density estimation was analyzed on two multi-view sequences datasets. For this propose PETS 2006 and PETS 2009 were used. Performance of the proposed approach has been evaluated for two metrics: people counting and crowd classification.
ISSN:2157-8672
DOI:10.1109/IWSSIP.2015.7314215