We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
We describe a system which is designed to assist in extracting high-level information from sets or sequences of images. We show that the method of principal components analysis fo...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...
Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
Richard Bowden, David Windridge, Timor Kadir, Andr...
A novel approach is presented for estimating human body posture and motion from a video sequence. Human pose is defined as the instantaneous image plane configuration of a singl...
Recently spatio-temporal local features have been proposed as image features to recognize events or human actions in videos. In this paper, we propose yet another local spatio-temp...