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Robust Estimation of Camera Motion Using A Local Phase Based Affine Model  

Jang, Suk-Yoon (ICS Lab, Dept. of Electrical and Electronic Eng., Yonsei University)
Yoon, Chang-Yong (ICS Lab, Dept. of Electrical and Electronic Eng., Yonsei University)
Park, Mig-Non (ICS Lab, Dept. of Electrical and Electronic Eng., Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.46, no.1, 2009 , pp. 128-135 More about this Journal
Abstract
Techniques for tracking the same region of physical space with the temporal sequences of images by matching the contours of constant phase show robust and stable performance in relative to the tracking techniques using or assuming the constant intensity. Using this property, we describe an algorithm for obtaining the robust motion parameters caused by the global camera motion. First, we obtain the optical flow based on the phase of spacially filtered sequential images on the region in a direction orthogonal to orientation of each component of gabor filter bank. And then, we apply the least squares method to the optical flow to determine the affine motion parameters. We demonstrate hat proposed method can be applied to the vision based pointing device which estimate its motion using the image including the display device which cause lighting condition varieties and noise.
Keywords
Local Phase Based; Gabor Filter; Optical Flow; Affine Model; Pointing Device;
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