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16 June 1995 Fast algorithms for object orientation determination
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tieniu Tan, Geoffrey D. Sullivan, and K. D. Baker "Fast algorithms for object orientation determination", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995);

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