Application of feature tracking in a vision based human machine interface for XBOX

Authors:
Mohammadreza Asghari Oskoei;Huosheng Hu
Affiliations:
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK;School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

Citing 4
Cited 0

Navigation in 3D Game by Markov Model Based Head Pose Estimating

ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Head Nod and Shake Recognition Based on Multi-View Model and Hidden Markov Model

CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
An iterative image registration technique with an application to stereo vision

IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Head gesture recognition based on bayesian network

IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a vision based human machine interface (HMI) for the Xbox. It applies feature tracking algorithms to recognize user's head gestures and translates them into commands for the game. The pyramidal implementation of Lucas Kanade feature tracking is used to trace the optical flows in a sequence of frames. The experimental results show the feasibility of the proposed vision based interface, which has reasonable performance comparing with the standard game pad.