Title

Motion Layer Extraction In The Presence Of Occlusion Using Graph Cut

Abstract

Extracting layers from video is very important for video representation, analysis, compression, and recognition. Assuming that a scene can be approximately described by multiple planar regions, this paper describes a robust novel approach to automatically extract a set of affine transformations induced by these regions, and accurately segment the scene into several motion layers. First, a number of seed regions are determined by using two frame correspondences. Then the seed regions are expanded and refined using the level set representation and employing graph cut method. Next, these initial regions are merged into several initial layers according to the motion similarity. Third, after exploiting the occlusion order constraint on multiple frames the robust layer extraction is obtained by graph cut algorithm, and the occlusions between the overlapping layers are explicitly determined. Several examples are demonstrated in the experiments to show that our approach is effective and robust.

Publication Date

10-19-2004

Publication Title

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volume

2

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

5044228111 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/5044228111

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