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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Goh, Wooi Boon; Martin, Graham R.
Publisher: University of Warwick. Department of Computer Science
Languages: English
Types: Other
Subjects: TA

Classified by OpenAIRE into

ACM Ref: ComputingMethodologies_COMPUTERGRAPHICS, MathematicsofComputing_NUMERICALANALYSIS, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
A technique is presented extracting local image motion utilising the properties of spatiotemporal orientation i n the frequency domain. This technique is based on the eigenvalue analysis of the inertia tensor matrix of the frequency domain. An iterative velocity field smoothing algorithm was developed based on the properties of a variant of this inertia tensor matrix. This iterative algorithm is able to smooth noisy translational, rotational and other smoothly varying velocity flow fields, within the constraints of motion discontinuities. Some results from the application of this algorithm to noisy random dot sequences are presented.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 3. Extracting Image Motion 3 3.1 Spatiotemporal Orientation Detection ......'....... 3 3.2 Interpreting the Eigenvalues and Eigenvectors .................... 6
    • 4. Cooperative Boundary Detection and Velocity Field Smoothing .......... 8 4.1 Velocity Field Smoothing 8 4.2 Neighbourhood Summation at Boundary Points 11 4.3 Motion Boundarv Detection 12
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