In this work we propose an iterative algorithm for simultaneously estimating the motion field and high resolution frames from a compressed low resolution video sequence. The algor...
Javier Mateos, Aggelos K. Katsaggelos, Rafael Moli...
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
We present a method to track and estimate the motion of a 3D object with a monocular image sequence. The problem is based on the state equations and is solved by a sequential Mont...
Patrick Lanvin, Jean-Charles Noyer, Mohammed Benje...
— This paper considers a network composed of robotic agents and static nodes performing spatial estimation of a dynamic physical processes. The physical process is modeled as a s...
Abstract-- We consider distributed parameter estimation using quantized observations in wireless sensor networks where due to bandwidth constraint, each sensor quantizes its local ...