System theoretic approaches to action recognition model the dynamics of a scene with
linear dynamical systems (LDSs) and perform classification using metrics on the space of …

Over the last few years, with the immense popularity of the Kinect, there has been renewed
interest in developing methods for human gesture and action recognition from 3D data. A …

Much of the existing work on automatic classification of gestures and skill in robotic surgery
is based on dynamic cues (eg, time to completion, speed, forces, torque) or kinematic data …

Objective The analysis of surgical motion has received a growing interest with the
development of devices allowing their automatic capture. In this context, the use of …

Confirmation of pregnancy viability (presence of fetal cardiac activity) and diagnosis of fetal
presentation (head or buttock in the maternal pelvis) are the first essential components of …

Much of the existing work on automatic classification of gestures and skill in robotic surgery
is based on kinematic and dynamic cues, such as time to completion, speed, forces, torque …

We introduce a framework for defining a distance on the (non-Euclidean) space of Linear
Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of …

In this paper we address the problem of tracking non-rigid objects whose local appearance
and motion changes as a function of time. This class of objects includes dynamic textures …

In this paper we study the geometrization of certain spaces of stochastic processes. Our
main motivation comes from the problem of pattern recognition in high-dimensional time …

Carrier diverse radars employing two different frequencies, termed as dual-frequency
radars, prove effective in determining the target range in urban sensing and through-the-wall …