Creating and sharing knowledge for telecommunications

Project: SparseModeling and Estimation of Motion Fields

Acronym: SPARSIS
Main Objective:
In this project we will explore the use of sparse techniques to improve the estimation of multiple motion fields as well as spacevarying switching matrix (stochastic matrix) that describes the switching process associated to the movement of each target. As scientific outcomes of the project, we expect to obtain reliable estimates for the model parameters (many hundreds), to remove
the over smoothed character of the field estimates. We also expect to speed up the estimation procedure bringing it closer to real time applications and extend these techniques to multicamera settings. We also expect to develop an adaptive algorithm for the online estimation of multiple motion fields able to update in a recursive way the number of fields and the field estimates whenever new information arrives.
Reference: PTDC/EEI-PRO/ 0426/2014
Funding: FCT
Start Date: 01-07-2016
End Date: 01-06-2019
Team: Mario Alexandre Teles de Figueiredo
Groups: Pattern and Image Analysis – Lx
Partners: INESC-ID, IST
Local Coordinator: Mario Alexandre Teles de Figueiredo
Associated Publications