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.
R. Crabb, C. Tracey, A. Puranik, J. Davis, "Real-time Foreground Segmentation via Range and Color Imaging", in Proc. CVPR Workshop on Time of Flight Camera Based Computer Vision, 2008. [pdf]
X. Lu, R. Manduchi, "Fast Image Motion Computation on an Embedded Computer," cvprw, p. 120, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006. (PDF)
Feng Tang and Hai Tao, "Non-orthogonal binary expansion of Gabor filters with applications in object tracking", in Proc. IEEE workshop on motion and video computing, 2007.[pdf]
Feng Tang and Hai Tao, "Fast multi-scale template matching using binary features", in Proc. IEEE workshop on applications of computer vision, 2007.[pdf]
Feng Tang, Jin Wang, Hai Tao, Qunsheng Peng "Probabilistic Hierarchical Face Model for Feature Localization", in Proc. IEEE workshop on applications of computer vision, 2007.[pdf]
