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.