Head-pose recognition for a game system based on nose's relative position

Authors:
Qingjie Zhao;Xiaoming Shi
Affiliations:
Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
Venue:
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
Year:
2011

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Abstract

This paper proposes a head pose identification method using nose's relative position information in a face region and develops a game system based on visual head pose identification techniques to control a virtual robot walking in a virtual maze environment. Adaboost classifiers are used to detect a face and give a rough classification. A nose classifier is used to detect noses in a detected face region. The nose's relative position information is utilized to further determine a specific head pose. A method for selecting the best nose area is also proposed to solve the problem that multi-nose areas may be detected in one face region. Experiment results show that by using these techniques correct head poses can be acquired and applied in the game system.