Pursuing an object with smooth eye movements requires an accurate estimate of its two-dimensional (2D) trajectory. This 2D motion computation requires that different local motion measurements are extracted and combined to recover the global object-motion direction and speed. Several combination rules have been proposed such as vector averaging (VA), intersection of constraints (IOC), or 2D feat...

Particle filtering is a widely used method to solve vision tracking problems. However, to be able to run in real-time on standard architecture, the state vector used in the particle filter must remain small [1]. We propose a parallel implementation of a 3D tracking algorithm operating on a stereo video stream and running in real-time on a cluster architecture. We demonstrate the efficiency of t...

This is ICT’s first year of participation in the TDT evaluation. We participate in two tasks: Hierarchical Topic Detection (HTD) and Tracking. The two systems are both based on vector-space model. We use the method of multi-layered clustering to produce directed acyclic graph (DAG) of topics and improve the performance using the technology of traditional detection task. We only implement a base...

Remote patient tracking has recently gained increased attention, due to its lower cost and non-invasive nature. In this paper, the performance of Support Vector Machines (SVM), Least Square Support Vector Machines (LS-SVM), Multilayer Perceptron Neural Network (MLPNN), and General Regression Neural Network (GRNN) regression methods is studied in application to remote tracking of Parkinson’s dis...

A new ESPRIT-based algorithm is proposed to estimate the direction-of-arrival of an arbitrary degree polynomialphase signal with a single acoustic vector sensor. The proposed approach requires neither a priori knowledge of the polynomial-phase signal’s coefficients nor a priori knowledge of the polynomial-phase signal’s frequency-spectrum. A preprocessing technique is also proposed to incorpora...

A particle tracking technique at high particle concentration for the evaluation of flow fields beneath water waves is described. A 1-4 cm thick light sheet parallel to the main wave propagation direction was used to illuminate small polystyrol seeding particles. The depth of the light sheet was chosen such that the particles stay long enough in the illuminated area to enable tracking. An area o...

In this paper, we study under which conditions the trajectories of a mechanical control system can track any curve on the configuration manifold. We focus on systems that can be represented as forced affine connection control systems and we generalize the sufficient conditions for tracking known in the literature. The sufficient conditions are expressed in terms of convex cones of vector fields...

A particle tracking code is developed to solve a general time-fractional diffusion equation (FDE), yielding a Lagrangian framework that can track particle dynamics. Extensive simulations demonstrate the efficiency and flexibility of this simple Langevin approach. Many real problems require a vector FDE with variable parameters and multiscaling spreading rates. For these problems, particle track...

Subspace estimation plays an important role in, for example, sensor array signal processing. Recursive methods for subspace tracking with application to non-stationary environments , have also drawn considerable interest. In this paper, Instrumental Variable (IV) extensions of the recently developed Projection Approximation Subspace Tracking (PAST) algorithm are presented. The IV-approach is mo...