Local All-Pass filters for optical flow estimation
Refereed conference paper presented and published in conference proceedings

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AbstractThe optical flow is a velocity field that describes the motion of pixels within a sequence (or set) of images. Its estimation plays an important role in areas such as motion compensation, object tracking and image registration. In this paper, we present a novel framework to estimate the optical flow using local all-pass filters. Instead of using the optical flow equation, the framework is based on relating one image to another, on a local level, using an all-pass filter and then extracting the optical flow from the filter. Using this framework, we present a fast novel algorithm for estimating a smoothly varying optical flow, which we term the Local All-Pass (LAP) algorithm. We demonstrate that this algorithm is consistent and accurate, and that it outperforms three state-of-the-art algorithms when estimating constant and smoothly varying flows. We also show initial competitive results for real images.
All Author(s) ListGilliam C., Blu T.
Name of Conference40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Start Date of Conference19/04/2014
End Date of Conference24/04/2014
Place of ConferenceBrisbane
Country/Region of ConferenceAustralia
Detailed descriptionorganized by IEEE,
Volume Number2015-August
Pages1533 - 1537
LanguagesEnglish-United Kingdom
KeywordsAll-pass Filters, Approximation, Motion Estimation, Optical Flow

Last updated on 2020-29-11 at 00:56