Region and graph-based motion segmentation

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

Authors

monteiro, fc (Author) Other; monteiro, fc (Author) Other; campilho, a (Author) FEUP

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 609-618

5th International Conference on Image Analysis and Recognition, ICIAR 2008

Povoa de Varzim, 25 June 2008 through 27 June 2008

Indexing

ISI Web of Knowledge

Scopus - 0 Citations

Other information

Authenticus ID: P-007-MN5

DOI: 10.1007/978-3-540-69812-8_60

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. © 2008 Springer-Verlag Berlin Heidelberg.

Language: English

Type (Professor's evaluation): Scientific