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2012
IEEE

Graph cuts optimization for multi-limb human segmentation in depth maps

8 years 27 days ago
Graph cuts optimization for multi-limb human segmentation in depth maps
We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps. First, from a set of random depth features, Random Forest is used to infer a set of label probabilities for each data sample. This vector of probabilities is used as unary term in
Antonio Hernández-Vela, Nadezhda Zlateva, A
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where CVPR
Authors Antonio Hernández-Vela, Nadezhda Zlateva, Alexander Marinov, Miguel Reyes, Petia Radeva, Dimo Dimov, Sergio Escalera
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