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Hausdorff distance for robust and adaptive template selection in visual target detection

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2 Author(s)
Gastaldo, P. ; DIBE, Genoa Univ., Italy ; Zunino, R.

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.

Published in:

Electronics Letters  (Volume:38 ,  Issue: 25 )