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Proceedings Paper

Fast algorithms for object orientation determination
Author(s): Tieniu Tan; Geoffrey D. Sullivan; K. D. Baker
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Paper Abstract

This paper concerns the determination of orientation of road vehicles from monocular intensity images. A novel algorithm is presented which exploits known physical and geometric knowledge about traffic scenes to allow fast and model-independent determination of vehicle orientations. The algorithm eliminates the need for symbolic image feature extraction and image-to-model matching, and the computational cost is substantially reduced. In fact, since the algorithm only requires local gradient data, object orientation can be determined from the input video data on-the-fly, and the overall algorithm can easily be implemented in real-time. The algorithm is tested with both indoor and outdoor data. Successful results are obtained for a variety of vehicles in routine traffic scenes.

Paper Details

Date Published: 16 June 1995
PDF: 11 pages
Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); doi: 10.1117/12.211979
Show Author Affiliations
Tieniu Tan, Univ. of Reading (United Kingdom)
Geoffrey D. Sullivan, Univ. of Reading (United Kingdom)
K. D. Baker, Univ. of Reading (United Kingdom)


Published in SPIE Proceedings Vol. 2488:
Visual Information Processing IV
Friedrich O. Huck; Richard D. Juday, Editor(s)

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