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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-5
Akshaya Puranik , Canesta, Inc. Sunnyvale, CA, USA
James Davis , University of California at Santa Cruz, USA
Colin Tracey , Canesta, Inc. Sunnyvale, CA, USA
Ryan Crabb , University of California at Santa Cruz, USA
ABSTRACT
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 two-step 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. Pixels 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.
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CITATION
Akshaya Puranik, James Davis, Colin Tracey, Ryan Crabb, "Real-time foreground segmentation via range and color imaging", 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 00, no. , pp. 1-5, 2008, doi:10.1109/CVPRW.2008.4563170
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