Application of Feature Tracking in a Vision Based Human Machine Interface for XBOX
This paper presents a vision based human machine interface (HMI) for the Xbox. It applies feature tracking algorithms to recognize users 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.
Computer Vision Optical Flow Motion Tracking Human Machine Interface Xbox
Mohammadreza Asghari Oskoei Huosheng Hu
School of Computer Science and Electronic Engineering University of Essex,Wivenhoe Park,Colchester CO4 3SQ,U.K.
国际会议
2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)
桂林
英文
1738-1743
2009-12-19(万方平台首次上网日期,不代表论文的发表时间)