Object-based spatial segmentation of video guided by depth and motion information

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Jaime S. Cardoso (Author) FEUP; Jorge C. S. Cardoso (Author) Other; Luís Corte-Real (Author) FEUP

Conference proceedings International

Title: 2007 IEEE Workshop on Motion and Video Computing, WMVC 2007

2007 IEEE Workshop on Motion and Video Computing, WMVC 2007

Austin, TX, 23 February 2007 through 24 February 2007

Indexing

ISI Web of Knowledge

Scopus - 6 Citations

Scientific classification

CORDIS: Technological sciences > Technology > Computer technology > Image processing

Other information

Authenticus ID: P-007-J5A

DOI: 10.1109/wmvc.2007.31

Abstract (EN): Automatic spatial video segmentation is a problem without a general solution at the current state-of-the-art. Most of the difficulties arise from the process of capturing images, which remain a very limited sample of the scene they represent. The capture of additional information, in the form of depth data, is a step forward to address this problem. We start by investigating the use of depth data for better image segmentation; a novel segmentation framework is proposed, with depth being mainly used to guide a segmentation algorithm on the colour information. Then, we extend the method to also incorporate motion information in the segmentation process. The effectiveness and simplicity of the proposed method is documented with results on a selected set of images sequences. The achieved quality raises the expectation for a significant improvement on operations relying on spatial video segmentation as a pre-process.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8