2008

Real-time foreground segmentation via range and color imaging

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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.

Real-time Foreground Segmentation via Range and Color Imaging

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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]

Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features

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D. Gray, H. Tao, "Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features", In Proc. European Conference on Computer Vision (ECCV), 2008.

Probabilistic Object Tracking with Dynamic Attributed Relational Feature Graph

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Feng Tang and Hai Tao, ``Probabilistic Object Tracking with Dynamic Attributed Relational Feature Graph", to appear, IEEE Trans. Circuit and Systems for Video Technology, 2008 [pdf]