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Enhanced Phase Correlation for Reliable and Robust Estimation of Multiple Motion Distributions
Goethe University of Frankfurt, Germany.
Goethe University of Frankfurt, Germany.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering. Goethe University of Frankfurt, Germany.
2016 (English)In: IMAGE AND VIDEO TECHNOLOGY, PSIVT 2015, Springer Publishing Company, 2016, Vol. 9431, 368-379 p.Conference paper (Refereed)Text
Abstract [en]

Phase correlation is one of the classic methods for sparse motion or displacement estimation. It is renowned in the literature for high precision and insensitivity against illumination variations. We propose several important enhancements to the phase correlation (PhC) method which render it more robust against those situations where a motion measurement is not possible (low structure, too much noise, too different image content in the corresponding measurement windows). This allows the method to perform self-diagnosis in adverse situations. Furthermore, we extend the PhC method by a robust scheme for detecting and classifying the presence of multiple motions and estimating their uncertainties. Experimental results on the Middlebury Stereo Dataset and on the KITTI Optical Flow Dataset show the potential offered by the enhanced method in contrast to the PhC implementation of OpenCV.

Place, publisher, year, edition, pages
Springer Publishing Company, 2016. Vol. 9431, 368-379 p.
Lecture Notes in Computer Science, ISSN 0302-9743
Keyword [en]
Optical flow; Motion estimation; Phase correlation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:liu:diva-127789DOI: 10.1007/978-3-319-29451-3_30ISI: 000374173000030ISBN: 978-3-319-29451-3; 978-3-319-29450-6OAI: diva2:927608
7th Pacific-Rim Symposium on Image and Video Technology (PSIVT)
Available from: 2016-05-12 Created: 2016-05-12 Last updated: 2016-05-12

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Mester, Rudolf
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