1 January 1998 Locating and recognizing road vehicles
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Optical Engineering, 37(1), (1998). doi:10.1117/1.601607
Abstract
This paper concerns model-based vision for road traffic scene analysis. A traffic vision system is described. The three main modules of the system are movement detection, vehicle localization and discrimination, and vehicle tracking. This paper outlines our work on the localization and discrimination module. Emphasis is on recovering 3-D 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.
Tieniu Tan, "Locating and recognizing road vehicles," Optical Engineering 37(1), (1 January 1998). http://dx.doi.org/10.1117/1.601607
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KEYWORDS
Image segmentation

3D modeling

Roads

Data modeling

Image processing algorithms and systems

Cameras

Detection and tracking algorithms

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