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Asian Conference on Computer Vision

ACCV 1995: Recent Developments in Computer Vision pp 519–528Cite as

Vehicle localisation and discrimination in outdoor traffic scenes

  • Outdoor Computer Vision
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1035))

Abstract

This paper concerns model-based vision for road traffic scene analysis. A traffic vision system has recently been developed at The University of Reading. The three main modules of the system are Movement Detection, Vehicle Localisation and Discrimination, and Vehicle Tracking. This paper outlines our work on the localisation and discrimination module. Emphasis is on recovering 3D poses of road vehicles in given image regions. Two classes of algorithms are described, one based on symbolic image features (line segments), and the other simply on image intensity gradients. A priori knowledge about traffic scenes and vehicles is exploited to improve the performance and efficiency of the algorithms. The algorithms are tested extensively with routine outdoor traffic images, and examples are included to demonstrate their principles.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Reading, RG6 2AY, Reading, Berkshire, England

    T. N. Tan, G. D. Sullivan & K. D. Baker

Authors
  1. T. N. Tan
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  2. G. D. Sullivan
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  3. K. D. Baker
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Editor information

Stan Z. Li Dinesh P. Mital Eam Khwang Teoh Han Wang

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© 1996 Springer-Verlag Berlin Heidelberg

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Tan, T.N., Sullivan, G.D., Baker, K.D. (1996). Vehicle localisation and discrimination in outdoor traffic scenes. In: Li, S.Z., Mital, D.P., Teoh, E.K., Wang, H. (eds) Recent Developments in Computer Vision. ACCV 1995. Lecture Notes in Computer Science, vol 1035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60793-5_105

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  • DOI: https://doi.org/10.1007/3-540-60793-5_105

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60793-9

  • Online ISBN: 978-3-540-49448-5

  • eBook Packages: Springer Book Archive

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