| Paper: | IMDSP-P5.7 | ||
| Session: | Motion Estimation | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: M-D Signal Processing Theory and Methods | ||
| Title: | EMPIRICAL CHOICE OF SMOOTHING PARAMETERS IN ROBUST OPTICAL FLOW ESTIMATION | ||
| Authors: | Mingren Shi; University of New South wales | ||
| Victor Solo; University of New South Wales | |||
| Abstract: | Optical flow estimation algorithms such as theLukas-Kanade method and Horn and Schunk methodrequire selection of a tuning parameter. In the former case a neighbourhoodsize, in the latter, a penalty parameter. Selectionof these tuning parameters is difficult in generalbut has a profound effect on the results. So automatic methods of selection are of great interest.In previous work we have developed selection methods for the algorithms above. Here we develop a selection procedurefor a robust version of the Lukas-Kanade method. This isa non-trivial task since the robust algorithm is nonlinear. | ||
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