Open Access3D Hand Gesture Recognition using the Hough Transform
Author(s) -
Serban Oprisescu,
Erhardt Barth
Publication year - 2013
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2013.03012
Subject(s) - hough transform , artificial intelligence , computer science , computer vision , gesture , gesture recognition , scale invariant feature transform , pattern recognition (psychology) , speech recognition , computer graphics (images) , feature extraction , image (mathematics)
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