Hausdorff distance for template detection and efficient implementation on embedded systems

Template selection is often a crucial task for target-detection methods; the Hausdorff distance enhances template matching by implicitly encoding the notion of resemblance. The template-matching technique proposed fits embedded electronic systems for the real-time analysis of visual scenes. Practical implementations demonstrate the approach effectiveness by means of comparative tests on several DSP-based embedded platforms.