| Title | Region and graph-based motion segmentation |
| Publication Type | Book |
| Year of Publication | 2008 |
| Authors | Monteiro, FC, Campilho, A |
| Series Title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. |
| Volume | 5112 LNCS |
| Number of Pages | 609 - 618 |
| City | Povoa de Varzim |
| ISBN Number | 03029743 (ISSN); 3540698116 (ISBN); 9783540698111 (ISBN) |
| Keywords | Clustering approach, Comparative studies, Conformal mapping, Estimation, Flow of solids, Graph-based, Heidelberg (CO), Hybrid approaches, Image analysis, Image segmentation, Imaging techniques, Input Images, International conferences, Maps, Motion estimation, Motion information, Motion segmentation, Motion vector (MV), Multi scaling, Multiple motion segmentation, Object boundaries, Region clustering, Region-based, Segmentation maps, Segmentation results, Static segmentation, Variational methods |
| Abstract | 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. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-47749121099&partnerID=40&md5=99c29c64b01f394f71f2626a8ac6ce1a |
