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High level scene interpretation using fuzzy belief

  • Session IA2a — 3-D Image Analysis
  • Conference paper
  • First Online:
Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

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Abstract

In this paper we present an image understanding system using fuzzy sets. This system is based on a symbolic object-oriented image interpretation system (SOO-PIN) we developed previously. It is known that in many image analysis and understanding applications, objects are not well-defined and are engaged in dynamic activities, which in most cases can only be described vaguely. Using fuzzy sets we are able to capture subtle variations and manage uncertainty properly. We demonstrate the effectiveness of our system with complex traffic scenes.

This work is supported by an Australian Research Council (ARC) large grant

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Authors and Affiliations

  1. Department of Computer Science, University of Melbourne, 3052, Parkville, Australia

    Sandy Dance & Zhi-Qiang Liu

Authors
  1. Sandy Dance
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  2. Zhi-Qiang Liu
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Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Dance, S., Liu, ZQ. (1995). High level scene interpretation using fuzzy belief. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_110

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  • DOI: https://doi.org/10.1007/3-540-60697-1_110

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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