A Practical Approach to Boundary Accurate Multi-Object Extraction from Still Images and Videos

Authors:
Gerald Friedland;Kristian Jantz;Tobias Lenz;Fabian Wiesel;Raul Rojas
Affiliations:
Freie Universitat Berlin, Germany;Freie Universitat Berlin, Germany;Freie Universitat Berlin, Germany;Freie Universitat Berlin, Germany;Freie Universitat Berlin, Germany
Venue:
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
Year:
2006

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Abstract

This paper presents recent improvements on a previous published practical approach to object segmentation from still images called SIOX: Simple Interactive Object Extraction. The basic method has been improved further and applied to a variety of applications. In the case of videos, this technique allows scale and rotation invariant real-time tracking of foreground objects including the classification of newly introduced objects. In the case of still-images, the method has been extended to cope with highly detailed textures with sub-pixel accuracy. The approach is robust in the presence of noise and can be applied to a variety of problems where objects have to be extracted, tracked and/or identified. The approach has been released as an open source framework. We discuss various applications of the algorithm and incorporated experiences and user feedback from several projects that have begun to integrate the algorithm.