Active Shape Model Based Pose Estimation Using Hausdorff Matching
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
The Oxford College Of Engineering, Bangalore, IndiaAbstract— paper presents a novel algorithm for automatic locating, extracting and recognizing human pose. The proposed algorithm consists of four stages; (i) training of typical poses in 2D and 3D configurations, (ii) Hausdorff matching for locating the pose, (iii) silhouette representation of the located pose using deformable templates, and (iv) joint extraction from the silhouette. In order to reduce the computational overhead we used a priori obtained training set, Hausdorff matching with PCA, and a heuristic approach. The algorithm was tested on typical human poses such as; standing, sitting, walking, crouching, and stretching, and Experimental results show the efficiency and accuracy of the proposed algorithm.
Authors and Affiliations
Arjun B S, Dr. Vivek Maik
Keywords
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