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

Author

Oskoei, Mohammadreza Asghari ; Hu, Huosheng

Author_Institution

Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK

fYear

2009

Firstpage

1738

Lastpage

1743

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.

Keywords

computer games; computer vision; gesture recognition; human computer interaction; image sequences; tracking; Lucas Kanade feature tracking; Xbox; feature tracking algorithms; optical flows; standard game pad; user head gesture recognition; video games; vision based human machine interface; Application software; Computer vision; Eyes; Face detection; Games; Hidden Markov models; Humans; Image motion analysis; Magnetic heads; Tracking; Computer Vision; Human Machine Interface; Motion Tracking; Optical Flow; Xbox;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-4244-4774-9

Electronic_ISBN

978-1-4244-4775-6

Type

conf

DOI

10.1109/ROBIO.2009.5420435

Filename

5420435