Silhouette area based similarity measure for template matching in constant time

  • Authors:
  • Daniel Mohr;Gabriel Zachmann

  • Affiliations:
  • Clausthal University;Clausthal University

  • Venue:
  • AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
  • Year:
  • 2010

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Abstract

In this paper, we present a novel, fast, resolution-independent silhouette area-based matching approach. We approximate the silhouette area by a small set of axis-aligned rectangles. This yields a very memory efficient representation of templates. In addition, utilizing the integral image, we can thus compare a silhouette with an input image at an arbitrary position in constant time. Furthermore, we present a new method to build a template hierarchy optimized for our rectangular representation of template silhouettes. With the template hierarchy, the complexity of our matching method for n templates is O(log n). For example, we can match a hierarchy consisting of 1000 templates in 1.5ms. Overall, our contribution constitutes an important piece in the initialization stage of any tracker of (articulated) objects.