Abstract
Template selection is often crucial for target-detection methods; the Hausdorff distance enhances template matching by implicitly encoding the notion of resemblance. In addition, Hausdorff metrics can build up a decision map to solve the template sizing and selection problems adaptively. The low computational cost of the method fits video-surveillance applications.
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