In this paper, we investigate recognition of human faces in a meeting room. The major challenges of identifying human faces in this environment include low quality of input images...
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
—In this paper we present a system that integrates automatic camera geometry estimation and object detection from a Pan Tilt Zoom camera. We estimate camera pose with respect to ...
Alberto Del Bimbo, Giuseppe Lisanti, Iacopo Masi, ...
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...