A New Voting Algorithm for Tracking Human Grasping Gestures | Zendy

Pablo Negri | Zendy; Xavier Clady | Zendy; Maurice Milgram | Zendy

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A New Voting Algorithm for Tracking Human Grasping Gestures

Author(s) -

Pablo Negri,

Xavier Clady,

Maurice Milgram

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-29032-X

DOI - 10.1007/11558484_17

Subject(s) - computer vision , gesture , artificial intelligence , computer science , orientation (vector space) , tracking (education) , hough transform , kalman filter , monocular vision , monocular , segmentation , pixel , gesture recognition , enhanced data rates for gsm evolution , tracking system , image (mathematics) , mathematics , psychology , pedagogy , geometry

This article deals with a monocular vision system for grasping gesture acquisition. This system could be used for medical diagnostic, robot or game control. We describe a new algorithm, the Chinese Transform, for the segmentation and localization of the fingers. This approach is inspired in the Hough Transform utilizing the position and the orientation of the gradient from the image edge’s pixels. Kalman filters are used for gesture tracking. We presents some results obtained from images sequence recording a grasping gesture. These results are in accordance with medical experiments.

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