Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Spatio-Temporal Optimization for Foreground/Background Segmentation
verfasst von : Tobias Feldmann
Erschienen in: Computer Vision – ACCV 2010 Workshops
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We introduce a procedure for calibrated multi camera setups in which observed persons within a realistic and, thus, difficult surrounding are determined as foreground in image sequences via a fully automatic purely data driven segmentation.
In order to gain an optimal separation of fore- and background for each frame in terms of Expectation Maximization (EM), an algorithm is proposed which utilizes a combination of geometrical constraints of the scene and, additionally, temporal constraints for a optimization over the entire sequence to estimate the background. This background information is then used to determine accurate silhouettes of the foreground.
We demonstrate the effectiveness of our approach based on a qualitative data analysis and compare it to other state of the art approaches.