Optical Flow Estimation using Phase Only-Correlation | Zendy

Alejandro Reyes | Zendy; Alfonso Alba | Zendy; Edgar Arce-Santana | Zendy

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Optical Flow Estimation using Phase Only-Correlation

Author(s) -

Alejandro Reyes,

Alfonso Alba,

Edgar Arce-Santana

Publication year - 2013

Publication title -

procedia technology

Language(s) - English

Resource type - Journals

ISSN - 2212-0173

DOI - 10.1016/j.protcy.2013.04.013

Subject(s) - motion vector , optical flow , pixel , filter (signal processing) , mathematics , motion estimation , matching (statistics) , block (permutation group theory) , phase correlation , minification , algorithm , quadratic equation , artificial intelligence , computer vision , computer science , image (mathematics) , mathematical optimization , statistics , fourier analysis , mathematical analysis , geometry , short time fourier transform , fourier transform

In this work, we present an optical flow algorithm with a highly reduced set of motion vector candidates that are obtained by the Phase-Only Correlation function. For each candidate and each pixel, we estimate the cost of assigning the candidate vector to that pixel using a sophisticated filter that is robust to edges, instead of the most commonly used box filter for block matching. The proposed filter is based on the minimization of a quadratic energy function using the Gauss-Seidel optimization method. Preliminary results with images from the Middlebury database show that the proposed method reduces the angular and end-point errors by up to 25% with respect to the classic block matching method

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