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Fast convergent method for optical flow estimation in noisy image sequences

Fast convergent method for optical flow estimation in noisy image sequences

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© The Institution of Electrical Engineers
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In this letter we propose a fast convergent iterative solution for the determination of optical flow in noisy image sequences. We estimate optical flow by combining the average velocity of neighbouring pixels and the velocity observation which is robust against noise.

Inspec keywords: convergence of numerical methods; computerised picture processing; recursive functions

Other keywords: velocity observation; fast convergent iterative solution; determination of optical flow; robust against noise; noisy image sequences; average velocity of neighbouring pixels; fast convergent method; optical flow estimation

Subjects: Optical information, image and video signal processing; Numerical integration and differentiation; Numerical analysis; Numerical integration and differentiation; Formal logic; Computer vision and image processing techniques; Communications computing

References

    1. 1)
      • W.K. Pratt . (1978) , Digital image processing.
    2. 2)
      • L.J. Gleser . Estimation in a multivariate ‘errors in variables’ regression model: large sample results. Ann. Stat. , 24 - 44
    3. 3)
      • B.K. Horn , B.G. Schunck . Determining optical flow. Artif. Intell. , 185 - 203
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