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Ontology-Coupled Active Contours for Dynamic Video Scene Understanding

Olszewska, Joanna Isabelle and McCluskey, Thomas L. (2011) Ontology-Coupled Active Contours for Dynamic Video Scene Understanding. In: Proceedings of the 15th IEEE International Conference on Intelligent Engineering Systems (INES),. IEEE, Poprad, High Tatras, Slovakia, pp. 369-374. ISBN 978-1-4244-8954-1

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    Abstract

    In this paper, we present an innovative approach coupling active contours with an ontological representation of knowledge, in order to understand scenes acquired by a moving camera and containing multiple non-rigid objects evolving over space and time. The developed active contours enable both segmentation and tracking of multiple targets in each captured scene over a video sequence with unknown camera calibration. Hence, this active contour technique provides information on the objects of interest as well as on parts of them (e.g. shape and position), and contains simultaneously low-level characteristics such as intensity or color features. The ontology we propose consists of concepts whose hierarchical levels map the granularity of the studied scene and of a set of inter- and intra-object spatial and temporal relations defined for this framework, object and sub-object characteristics e.g. shape, and visual concepts like color. The system obtained by coupling this ontology with active contours can study dynamic scenes at different levels of granularity, both numerically and semantically characterize each scene and its components i.e. objects of interest, and reason about spatiotemporal relations between them or parts of them. This resulting knowledge-based vision system was demonstrated on real-world video sequences containing multiple mobile highly-deformable objects.

    Item Type: Book Chapter
    Additional Information: © 2010 IEEE. Reprinted, with permission, from Olszewska, Joanna I. and McCluskey, Thomas L. (2011) Ontology-Coupled Active Contours for Dynamic Video Scene Understanding. Proceedings of the 15th IEEE International Conference on Intelligent Engineering Systems, pp. 369-374. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Huddersfield University products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
    Uncontrolled Keywords: Active Contours; Ontology; Intelligent Systems; Computer Vision; Scene Understanding;
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
    School of Computing and Engineering > Pedagogical Research Group
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    Depositing User: Joanna Olszewska
    Date Deposited: 05 Jul 2011 16:51
    Last Modified: 09 Jul 2013 14:56
    URI: http://eprints.hud.ac.uk/id/eprint/10829

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