Human limb segmentation in depth maps based on spatio-temporal Graph-cuts optimization
Antonio Hernández-Vela, Nadezhda Zlateva, A. Marinov, Miguel Reyes, Petia I. Radeva, Dimo Dimov, Sérgio Escalera · Journal of Ambient Intelligence and Smart Environments · 2012
We present a framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs. First, from a set of random depth features, Random Forest is used to infer a set of label p