We describe a 3D+T active surface model for segmentation and tracking of the left ventricular endocardium within 3D MRI sequences of the cardiac cycle. In order to perform segment...
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Videos usually consist of activities involving interactions between multiple actors, sometimes referred to as complex activities. Recognition of such activities requires modeling ...
Utkarsh Gaur, Yingying Zhu, Bi Song, Amit Roy-Chow...
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...