My ICIP 2006 Schedule
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|Time:||Tuesday, October 10, 12:00 - 12:20
|| Motion Detection and Estimation: Optical flow|
|| OPTICAL-FLOW BASED ON AN EDGE-AVOIDANCE PROCEDURE|
||Pierre-Marc Jodoin; Université de Montréal|| |
| ||Max Mignotte; Université de Montréal|| |
|| This paper presents a differential optical flow method which accounts for two typical motion-estimation problems : (1) flow regularization within regions of uniform motion while (2) preserving sharp edges near motion discontinuities i.e., where motion is multimodal by nature. The method proposed is a modified version of the well known Lucas Kanade (LK) algorithm. Based on documented assumptions, our method computes motion with a classical least-square fit on a local neighborhood shifted away from where motion is likely to be multimodal. This edge-avoidance procedure is based on the non-parametric mean-shift algorithm which shifts the LK integration window away from local sharp edges. Our method also locally regularizes motion by performing a fusion of local motion estimates. Our method is compared with other edge-preserving methods on image sequences representing different challenges.|