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Application of the General Shape Analysis in Determining the Class of Binary Object Silhouettes in the Video Surveillance System

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Image Analysis and Recognition (ICIAR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9164))

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Abstract

The paper discusses the problem of the General Shape Analysis (GSA) and considers an attempt to adapt this approach for binary silhouette analysis in the ‘SM4Public’ system. In the GSA, for a particular test shape, one or a few most similar, general templates are indicated. Shapes are represented using shape descriptors and representations are matched using similarity or dissimilarity measure. In the paper the GSA is explained and the application of the GSA in the ‘SM4Public’ system is investigated. Using a test dataset containing binary silhouettes of various objects (extracted from the ‘SM4Public’ video database) and selected shape description algorithms, an experiment was carried out. The aim of the experiment was to verify whether the GSA can be applied in the ‘SM4Public’ system as a solution for determining the class of binary silhouettes (as a preliminary classification).

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Acknowledgments

The project “Security system for public spaces — ‘SM4Public’ prototype construction and implementation” (original title: Budowa i wdrożenie prototypu systemu bezpieczeństwa przestrzeni publicznej ’SM4Public’) is a project co-founded by European Union (EU) (project number PL: POIG.01.04.00-32-244/13, value: 12.936.684,77 PLN, EU contribution: 6.528.823,81 PLN, realization period: 01.06.2014–31.10.2015). European Funds—for the development of innovative economy (Fundusze Europejskie—dla rozwoju innowacyjnej gospodarki).

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Correspondence to Katarzyna Gościewska .

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Gościewska, K., Frejlichowski, D., Hofman, R. (2015). Application of the General Shape Analysis in Determining the Class of Binary Object Silhouettes in the Video Surveillance System. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2015. Lecture Notes in Computer Science(), vol 9164. Springer, Cham. https://doi.org/10.1007/978-3-319-20801-5_52

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  • DOI: https://doi.org/10.1007/978-3-319-20801-5_52

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-20801-5

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