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(logn). For example, we can match a hierarchy consisting of 1000 templates in 1.5 ms. Overall, our contribution constitutes an important piece in the initialization stage of any tracker of (articulated) objects.
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Mohr, D., Zachmann, G. (2010). Silhouette Area Based Similarity Measure for Template Matching in Constant Time. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2010. Lecture Notes in Computer Science, vol 6169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14061-7_5
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DOI: https://doi.org/10.1007/978-3-642-14061-7_5
Publisher Name: Springer, Berlin, Heidelberg
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