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Skeletonization techniques for object detection - state-of-the-art report

: Giese, Sascha
: Urban, Bodo

Rostock, 2012, 29 pp.
Rostock, Univ., Studienarbeit, 2012
Term paper
Fraunhofer IGD ()
skeletonization; pose estimation; object detection; depth image; edge and feature detection; motion estimation; Business Field: Virtual engineering; Research Area: Confluence of graphics and vision

This work presents the results of the literature research on the subject of recently published approaches concerning skeletonization algorithms for object detection. It gives a short survey of the principles of skeletonization and object detection. The main part is focused on the state-of-the-art of generating a skeleton of a human with additionally poses estimation from an input depth image. At the end a brief conclusion including a discussion of advantages and disadvantages of the several presented approaches is given.