ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MP-P8.11
Session:Motion Detection and Estimation
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Motion Detection and Estimation: Optical flow
Title: MRF MODELING FOR OPTICAL FLOW COMPUTATION FROM MULTI-STRUCTURE OBJECTS
Authors: Veronique Prinet; Chinese Academy of Sciences 
 Cyril Cassisa; Chinese Academy of Sciences 
 FengFeng Tang; Chinese Academy of Sciences 
Abstract: We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees and leaves, ...). The displacement fields are computed using a Markovian Random Field (MRF) model. Local and global components of the vector flow are both explicitly retrieved. The minimization of the Gibbs energy is achieved with a down-scaling approach, in which we first analyze the motion of the compact object, the sub-structures'movement being retrieved in a second stage. We validate and demonstrate the efficiency of our approach on synthetic and real images for various applications.