 |
Technical Program
Paper Detail
| Paper: | TA-L5.7 |
| Session: | Motion Estimation |
| Time: | Tuesday, October 10, 12:00 - 12:20 |
| Presentation: |
Lecture
|
| Title: |
OPTICAL-FLOW BASED ON AN EDGE-AVOIDANCE PROCEDURE |
| Authors: |
Pierre-Marc Jodoin; Université de Montréal | | | | | Max Mignotte; Université de Montréal | | |
| Abstract: |
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. |
|
