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Книга ISBN13 9783659599361 - Pose Tracking of an Articulated Human Body (Bruno Albert,Rossi Setchi and Alexandre Noyvirt) в магазинах, библиотеках и электронных библиотеках с он-лайн чтением

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Название: Pose Tracking of an Articulated Human Body
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...
Авторы: Bruno Albert,Rossi Setchi and Alexandre Noyvirt
Издательство: LAP Lambert Academic Publishing
Год: 2014
Местонахождение: OZON.ru
ISBN: 9783659599361


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10 января 2015 года: Запуск базы ISBN10 и ISBN13

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