GESTURE BASED DESKTOP INTERACTION

SREEKANTH N.S.¹*, GOPINATH P.²*, SUPRIYA N PAL³*, NARAYANAN N.K.⁴*
¹Center for Development of Advanced Computing ,#68 Electronic city, Bangalore, 560100
²Center for Development of Advanced Computing ,#68 Electronic city, Bangalore, 560100
³Center for Development of Advanced Computing ,#68 Electronic city, Bangalore, 560100
⁴Department of Information Technology, Kannur Univeristy, Kerala
* Corresponding Author : nknarayanan@gmail.com

Received : 06-11-2011     Accepted : 09-12-2011     Published : 12-12-2011
Volume : 3     Issue : 4       Pages : 268 - 271
Int J Mach Intell 3.4 (2011):268-271
DOI : http://dx.doi.org/10.9735/0975-2927.3.4.268-271

This paper discusses the implementation details of computer vision based gesture processing. Finger gestures are processed and recognized for interacting with the desktop and desktop applications. Gestures are captured via webcam; and conventional image processing techniques and algorithms are used for video frame analysis. For identifying the object of interest in each video frame BLOB colour-segmentation algorithm is used. 8-directional code features are extracted from the motion vector for recognizing of gestures.