Spatio-Temporal GrabCut human segmentation for face and pose recovery

@article{HernndezSabat2010SpatioTemporalGH,
  title={Spatio-Temporal GrabCut human segmentation for face and pose recovery},
  author={Aura Hern{\`a}ndez-Sabat{\'e} and Miguel Reyes and Sergio Escalera and Petia Radeva},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops},
  year={2010},
  pages={33-40}
}
In this paper, we present a full-automatic Spatio-Temporal GrabCut human segmentation methodology. GrabCut initialization is performed by a HOG-based subject detection, face detection, and skin color model for seed initialization. Spatial information is included by means of Mean Shift clustering whereas temporal coherence is considered by the historical of Gaussian Mixture Models. Moreover, human segmentation is combined with Shape and Active Appearance Models to perform full face and pose… CONTINUE READING
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