Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

14

ICIP
2003
IEEE

favoriteEmaildiscussreport

140views Image Processing» more ICIP 2003»

Gesture recognition using position and appearance features

14 years 6 months ago

Gesture recognition using position and appearance features

Download www.ee.iitb.ac.in

In this paper a scheme for recognizing hand gestures is presented using the output of a Condensation tracker. The tracker is used to obtain a set of features. These features consisting of temporal evolution of the spatial moments form high dimensional feature vectors. The principal components of the feature trajectories are used to recognize the gestures.

Tushar Agrawal, Subhasis Chaudhuri

Real-time Traffic

Condensation Tracker | Dimensional Feature Vectors | Hand Gestures | ICIP 2003 | Image Processing |

claim paper

Related Content

» A databasebased framework for gesture recognition

» Gestural Interaction Using Feature Classification

» Survey on Various Gesture Recognition Techniques for Interfacing Machines Based on Ambient...

» Hand trajectory based gesture recognition using selforganizing feature maps and markov mod...

» Hand Gesture Recognition using MultiScale Colour Features Hierarchical Models and Particle...

» Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers

» Feature Selection for Visual Gesture Recognition Using Hidden Markov Models

» RealTime Hand Gesture Recognition for Human Robot Interaction

» Linear Programming for Matching in Human Body Gesture Recognition

Post Info
More Details (n/a)

Added	24 Oct 2009
Updated	24 Oct 2009
Type	Conference
Year	2003
Where	ICIP
Authors	Tushar Agrawal, Subhasis Chaudhuri

Comments (0)