Title :
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
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;
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
DOI :
10.1109/ROBIO.2009.5420435
