Phase correlation method to the optical flow using neuronal networks

Ghoul, Khalid; Berkane, Mohamed Lamine; Batouche, Mohamed

doi:10.1109/icmcs.2016.7905522

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…A brief review of current state-of-the-art Fourier-based methods for optical flow estimation is presented [27]. Several subpixel motion estimation and image registration algorithms operating in the frequency domain have been introduced [11], [13], [18], [34], [35], [46]- [48], [52]. In [22], Hoge proposes to apply a rank-1 approximation to the phase difference matrix and then performs unwrapping estimating the motion vectors.…”

Section: Related Workmentioning

confidence: 99%

Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain

Argyriou

2018

2018 14th International Conference on Signal-Image Technology &Amp; Internet-Based Systems (SITIS)

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We address the problem of motion estimation in images operating in the frequency domain. A method is presented which extends phase correlation to handle multiple motions present in an area. Our scheme is based on a novel Bilateral-Phase Correlation (BLPC) technique that incorporates the concept and principles of Bilateral Filters retaining the motion boundaries by taking into account the difference both in value and distance in a manner very similar to Gaussian convolution. The optical flow is obtained by applying the proposed method at certain locations selected based on the present motion differences and then performing non-uniform interpolation in a multiscale iterative framework. Experiments with several well-known datasets with and without ground-truth show that our scheme outperforms recently proposed state-of-the-art phase correlation based optical flow methods.

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Section: Related Workmentioning

confidence: 99%

Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain

Argyriou

2018

2018 14th International Conference on Signal-Image Technology &Amp; Internet-Based Systems (SITIS)

View full text Add to dashboard Cite

show abstract

Phase correlation method to the optical flow using neuronal networks

Cited by 1 publication

References 16 publications

Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain

Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain

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