This paper presents a motion attention model that aims at analyzing gesture saliency using context-related information at three different levels. At the first level, motion feature...
Matei Mancas, Donald Glowinski, Gualtiero Volpe, P...
This paper presents a novel method to model and recognize human faces in video sequences. Each registered person is represented by a low-dimensional appearance manifold in the amb...
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
Spatio-temporal databases have been the focus of considerable research activity over a significant period. However, there are as of yet very few prototypes of complete systems, f...
Norman W. Paton, Alvaro A. A. Fernandes, Tony Grif...
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...