Human upper body identification from images
Julio C. S. Jacques, Leandro Dihl, Cláudio R. Jung, Marcelo Thielo, Renato Keshet, Soraia Raupp Musse · 2010
Estimating human pose in static images is challenging due to the high dimensional state space, presence of image clutter and ambiguities of image observations. In this paper we propose a method to automatically segment human subjects in images, based on dominant colors, and given the face captured by a face detector. The posture is estimated using a 2D model combined with anthropometric data. Experimental results showed that the proposed technique performs well in non trivial images.