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Pose Tracking of an Articulated Human Body


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description

In the context of elderly people health-care in a domestic environment, being able for a robot to understand the pose of a person in a scene is essential. Having the position and orientation of every member of a human being can lead to extract higher level information such as the type of action being performed or the identification of unsafe positions. The proposed algorithm is based on a widely used method called Iterative Closest Point and uses three-dimensional data. The algorithm developed in the project, called Constrained Articulated-ICP, is a variant of this method. It is adapted to the articulated properties of a human body. Several techniques have hence been developed in order to improve the pose recognition, as well as to ensure its validity. A human model is created and the orientation of every member is found by iterative matchings. The pose information is then directly extracted thanks to this model. Developing the algorithm for a real-time application, the pose tracking proved to be accurate and stable. The performed evaluation highlights its ability to recognise the human pose in motion and while performing everyday life movements such as sitting or walking.

Product Specifications
SKU :COC75240
AuthorBruno Albert,Rossi Setchi and Alexandre Noyvirt
Number of Pages108
Publishing Year2014-09-19T00:00:00.000
Edition1 st
Book TypeIntegrated software packages
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00