3D Hand Gesture Recognition using the Hough Transform

被引:3
|
作者
Oprisescu, Serban [1 ]
Barth, Erhardt [1 ]
机构
[1] Univ Politehn Bucuresti, LAPI, Bucharest, Romania
关键词
image processing; computer vision; gesture recognition; Kinect camera; Hough transform;
D O I
10.4316/AECE.2013.03012
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an automatic 3D dynamic hand gesture recognition algorithm relying on both intensity and depth information provided by a Kinect camera. Gesture classification consists of a decision tree constructed on six parameters delivered by the Hough transform of projected 3D points. The Hough transform is originally applied, for the first time, on the projected gesture trajectories to obtain a reliable decision. The experimental data obtained from 300 video sequences with different subjects validate the proposed recognition method.
引用
收藏
页码:71 / 76
页数:6
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