Region and graph-based motion segmentation

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Monteiro, FC (Author) Other; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: Image Analysis and Recognition

Pages: 609-618

5th International Conference on Image Analysis and Recognition (ICIAR 2008)

Póvoa de Varzim, Portugal, June 25-27, 2008

Indexing

ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: P-00G-HYM

Abstract (EN): This paper describes an approach for integrating motion estimation and region clustering techniques with the purpose of obtaining precise multiple motion segmentation. Motivated by the good results obtained in static segmentation we propose a hybrid approach where motion segmentation is achieved within a region-based clustering approach taken the initial result of a spatial pre-segmentation and extended to include motion information. Motion vectors are first estimated with a multiscale variational method applied directly over the input images and then refined by incorporating segmentation results into a region-based warping scheme. The complete algorithm facilitates obtaining spatially continuous segmentation maps which are closely related to actual object boundaries. A comparative study is made with some of the best known motion segmentation algorithms.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10