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2007
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An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans

9 years 7 months ago
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans
An interactive human segmentation approach is described. Given regions of interest provided by users, the approach iteratively estimates segmentation via a generalized EM algorithm. Specifically, it encodes both spatial and color information in a nonparametric kernel density estimator, and incorporates local MRF constraints and global pose inferences to propagate beliefs over image space iteratively to determine a coherent segmentation. This ensures the segmented humans resemble the shapes of human poses. Additionally, a layered occlusion model and a probabilistic occlusion reasoning method are proposed to handle segmentation of multiple humans in occlusion. The approach is tested on a wide variety of images containing single or multiple occluded humans, and the segmentation performance is evaluated quantitatively.
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel
Added 14 Oct 2009
Updated 30 Oct 2009
Type Conference
Year 2007
Where ICCV
Authors Zhe Lin, Larry S. Davis, David S. Doermann, Daniel DeMenthon
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