Abstract
This paper concerns the pose determination and recognition of vehicles in traffic scenes, which under normal conditions stand on the ground-plane. Novel linear and closed-form algorithms are described for pose determination from an arbitrary number of known line matches. A form of the generalised Hough transform is used in conjuction with explicit probability-based voting models to find consistent matches. The algorithms are fast and robust. They cope well with complex outdoor scenes.
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