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.#R##N##R##N#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.#R##N##R##N#We demonstrate the effectiveness of our approach based on a qualitative data analysis and compare it to other state of the art approaches.
['Tobias Feldmann']
Spatio-temporal optimization for foreground/background segmentation