Abstract
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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Negri, P., Clady, X., Milgram, M. (2005). A New Voting Algorithm for Tracking Human Grasping Gestures. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_17
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DOI: https://doi.org/10.1007/11558484_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
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