We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
Behavioral indicators of deception and behavioral state are extremely difficult for humans to analyze. This research effort attempts to leverage automated systems to augment human...
Gabriel Tsechpenakis, Dimitris N. Metaxas, Mark Ad...
Streaming a lecture video via the Internet is important for Elearning. We have developed a system that generates a lecture video using virtual camerawork based on shooting techniq...
A number of studies have explored issues of interruption and availability in workplace environments, but few have examined how attitudes toward availability play out in home life....
Kristine S. Nagel, James M. Hudson, Gregory D. Abo...