Extending the SIOX algorithm
Friedland, Gerald ;  Jantz, Kristian ;  Lenz, Tobias ;  Rojas, Raúl ;  Universität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik

Main titleExtending the SIOX algorithm
Subtitlealternative clustering methods, sub-pixel accurate object extraction from still images, and generic video segmentation
AuthorFriedland, Gerald
AuthorJantz, Kristian
AuthorLenz, Tobias
AuthorRojas, Raúl
InstitutionUniversität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik
No. of Pages13 S.
Series Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; 2006,06
Classification (DDC)003 Systems
AbstractThis paper presents a practical approach for object extraction from still images and video sequences that is both: simple to use and easy to implement. Many image segmentation projects focus on special cases or try to use complicated heuristics and classificators to cope with every special case. The presented approach focuses on typical pictures and videos taken from everyday life working under the assumption that the foreground objects are sufficiently perceptual different from the background. The approach incorporates experiences and user feedback from several projects that have integrated the algorithm already. The segmentation works in realtime for video and is noise robust and provides subpixel accuracy for still images.
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2006
Type of documentWorking paper
Terms of use/Rights Nutzungsbedingungen
Created at2009-10-13 : 02:00:15
Last changed2015-03-06 : 10:45:46
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000003878