A new voting algorithm for tracking human grasping gestures

被引:0
|
作者
Negri, P [1 ]
Clady, X [1 ]
Milgram, M [1 ]
机构
[1] Univ Paris 06, LISIF, PARC, F-94200 Ivry, France
来源
ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS | 2005年 / 3708卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:130 / 137
页数:8
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