Real-time foreground segmentation via range and color imaging

Ryan Crabb, Colin Tracey, Akshaya Puranik, James Davis
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
This paper describes a real-time method for foreground/background segmentation of a color video sequence based primarily on range data of a time-of-flight sensor. This method uses depth information of a TOF-sensor paired with a high resolution color video camera to efficiently segment foreground from background in a twostep process. First a trimap is produced using only range data: areas are located in each frame that have a high probability of being background or foreground, respectively.
more » ... s which cannot be definitively classified as foreground or background, typically about 1-2% of the frame, are assigned alpha-matte values using a cross bilateral filtering, applied directly to an estimate of the alpha-matte.
doi:10.1109/cvprw.2008.4563170 dblp:conf/cvpr/CrabbTPD08 fatcat:qhu6tkqac5hc3c7pqqlhdhreke