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Ontology for Semantic Integration in a Cognitive Surveillance System

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Semantic Multimedia (SAMT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4816))

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Abstract

The increasing interest in Cognitive Vision Systems (CVS) motivates the apparition of ad-hoc stages designed for the integration of multiple kinds of knowledge. This paper proposes a novel ontology to restrict and integrate high-level semantics for Human Sequence Evaluation (HSE), which targets multilingual capabilities and multipurpose end-user interfaces. The main contributions of this paper are the conception of a neutral semantic layer, which allows to link vision and linguistic domains; and the use of situations instead of verbs as basic elements for an ontological categorization of occurrences. In our approach, the domain has been restricted to outdoor surveilled scenarios, involving interactions among pedestrians, static objects, and vehicular traffic.

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References

  1. Gonzàlez, J.: Human Sequence Evaluation: The Key-Frame Approach. PhD thesis, Universitat Autonoma de Barcelona, Barcelona, Spain (2004)

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Author information

Authors and Affiliations

  1. Computer Vision Centre, Edifici O. Campus UAB, 08193, Bellaterra, Spain

    Carles Fernández

  2. Institut de Robòtica i Informàtica Ind. UPC, 08028, Barcelona, Spain

    Jordi Gonzàlez

Authors
  1. Carles Fernández
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  2. Jordi Gonzàlez
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Editor information

Bianca Falcidieno Michela Spagnuolo Yannis Avrithis Ioannis Kompatsiaris Paul Buitelaar

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© 2007 Springer-Verlag Berlin Heidelberg

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Fernández, C., Gonzàlez, J. (2007). Ontology for Semantic Integration in a Cognitive Surveillance System. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds) Semantic Multimedia. SAMT 2007. Lecture Notes in Computer Science, vol 4816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77051-0_29

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  • DOI: https://doi.org/10.1007/978-3-540-77051-0_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77033-6

  • Online ISBN: 978-3-540-77051-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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