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BIBTEX RIS

Real-Time Head Pose Estimation for Mobile Devices

2012; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-32639-4_57

ISSN

1611-3349

Autores

Euclides N. Arcoverde Neto, Rafael M. Barreto, Rafael M. Duarte, João Paulo Magalhães, Carlos A. C. M. Bastos, Tsang Ing Ren, George D. C. Cavalcanti,

Tópico(s)

Speech and Audio Processing

Resumo

Mobile devices are an essential equipment in modern life. Nowadays, its presence is so widespread that almost everyone has a mobile phone, smartphone or tablet device. There are several different ways to interact with those equipments, such as the use of the keypad or the touchscreen. Here, we propose a real-time head pose estimation technique based on the secondary video camera as a means of interaction between the user and the device. The proposed technique is composed of several computer vision methods specially optimized to be able to operate in a restrict environment and a head pose estimation based on the calculations of the roll, yaw and pitch movements. Experiments were conducted based on 363 videos of 27 different people in a varied environment (illumination and background).

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