Vision-based motion estimation for interaction with mobile devices. Computer Vision and Image Understanding: Special Issue on Vision for Human-Computer Interaction (2007)
| Citations: | 4 - 2 self |
BibTeX
@MISC{Hannuksela07vision-basedmotion,
author = {Jari Hannuksela and Pekka Sangi and Janne Heikkilä},
title = {Vision-based motion estimation for interaction with mobile devices. Computer Vision and Image Understanding: Special Issue on Vision for Human-Computer Interaction},
year = {2007}
}
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Abstract
This paper introduces a novel interaction technique for handheld mobile devices which enables the user interface to be controlled by the motion of the user’s hand. A feature-based approach is proposed for global motion estimation that exploits gradient measures for both feature selection and feature motion uncertainty analysis. A voting-based scheme is presented for outlier removal. A Kalman filter is applied for smoothing motion trajectories. A fixed-point implementation of the method was developed due to the lack of floating-point hardware. Experiments testify the effectiveness of the approach on a camera-enabled mobile phone. Key words: user interfaces, handheld devices, global motion estimation 1
