Video Object Segmentation Introducing Depth and Motion Information
نویسنده
چکیده
In the paper we present a method to estimate 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.
منابع مشابه
Object-based coding of stereo image sequences using joint 3-D motion/disparity compensation
An object-based coding scheme is proposed for the coding of a stereoscopic image sequence, using motion and disparity information. A hierarchical block-based motion estimation approach is used for initialization, while disparity estimation is performed using a pixel-based hierarchical dynamic programming algorithm. A split and merge segmentation procedure based on 3-D motion modeling is then us...
متن کاملOptimize Parameters Prune LabelsOptimize Configuration Motion Edges Color Depth
This paper presents an approach to multi-object image segmentation based on object motion using Markov Random Fields. To support the information gained from motion and to achieve robustness, several additional visual cues extracted from the image data are integrated. Depth information gained from stereo disparity is included to maintain segmentation in case an segmented object stops moving. Mot...
متن کاملSegmentation-based Motion Estimation for Video Processing using Object-based Detection of Motion Types
In this paper, novel techniques for image segmentation and explicit object-matching-based motion estimation are presented. The principal aims of this work are to reconstruct motion-compensated images without introducing sig-niicant artifacts and to introduce an explicit object-matching and noise-robust segmentation technique which shows low computational costs and regular operations. A main fea...
متن کاملA Feature Point Based Scheme for Unsupervised Video Object Segmentation in Stereoscopic Video Sequences
The video coding standard MPEG-4 is enabling content-based functionalities by the introduction of video object planes (VOP’s) which represent semantically meaningful objects. In this paper, a novel fast, unsupervised semantic segmentation scheme is presented for stereoscopic sequences, which utilizes the provided depth information. Each stereo pair is first analyzed and the disparity field and ...
متن کاملVideo object articulation using depth-based content segmentation approaches
In this paper two efficient unsupervised video object segmentation approaches are proposed and then extensively compared in terms of computational cost and quality of segmentation results. Both methods exploit depth information. In particular a depth segments map is initially estimated by analyzing a stereoscopic pair of frames and applying a segmentation algorithm. In the first a "Constrained ...
متن کامل