Research Article
Improving Optical Flow Using Residual and Sobel Edge Images
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@INPROCEEDINGS{10.1007/978-3-642-11577-6_27, author={Tobi Vaudrey and Andreas Wedel and Chia-Yen Chen and Reinhard Klette}, title={Improving Optical Flow Using Residual and Sobel Edge Images}, proceedings={Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers}, proceedings_a={ARTSIT}, year={2012}, month={5}, keywords={}, doi={10.1007/978-3-642-11577-6_27} }- Tobi Vaudrey
Andreas Wedel
Chia-Yen Chen
Reinhard Klette
Year: 2012
Improving Optical Flow Using Residual and Sobel Edge Images
ARTSIT
Springer
DOI: 10.1007/978-3-642-11577-6_27
Abstract
Optical flow is a highly researched area in low-level computer vision. It is a complex problem which tries to solve a 2D search in continuous space, while the input data is 2D discrete data. Furthermore, the latest representations of optical flow use Hue-Saturation-Value (HSV) colour circles, to effectively convey direction and magnitude of vectors. The major assumption in most optical flow applications is the intensity consistency assumption, introduced by Horn and Schunck. This constraint is often violated in practice. This paper proposes and generalises one such approach; using residual images (high-frequencies) of images, to remove the illumination differences between corresponding images.
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