论文信息 - Video object segmentation introducing depth and motion information

Video object segmentation introducing depth and motion information

We present a method to estimate the relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from the overlapping produced between objects when there is relative motion as well as from motion coherence between neighbouring regions. A relaxation labelling algorithm is used to solve conflicts and assign every region to a depth level. The depth estimation is used in a segmentation scheme which uses grey level information to produce a first segmentation. Regions of this partition are merged on the basis of their depth level.

Montse Pardàs

[1] Azriel Rosenfeld,et al. Scene Labeling by Relaxation Operations , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[2] Philippe Jean Salembier Clairon,et al. Time-recursive segmentation of image sequences , 1994 .

[3] Ferran Marqués,et al. Segmentation-based video coding: Temporal linking and rate control , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[4] Montse Pardàs,et al. Coding-Oriented Segmentation of Video sequences , 1996 .

[5] Frederic Dufaux,et al. Segmentation-Based Motion Estimation for Second Generation Video Coding Techniques , 1996 .

[6] Jean-Luc Dugelay,et al. Differential methods for the identification of 2D and 3D motion models in image sequences , 1995, Signal Process. Image Commun..