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research |
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People
Current
Students Catarina Barata
(PhD*) Instituto
Superior Técnico Carlos Santiago
(PhD*) Instituto
Superior Técnico *co-supervised. |
Former
Students Arnaldo J. Abrantes (MSc, PhD) Polytechnic Institute of Lisbon Jacinto Nascimento (MSc, PhD,PD) Researcher at ISR João Sanches (PhD) Instituto
Superior Técnico Pedro
M. Jorge (MSc, PhD*) Polytechnic Institute of Lisbon Jorge G. Silva (MSc, PhD*) Duke University, USA Lourenço Bandeira
(PhD*) Instituto
Superior Técnico Catarina Barata
(MSc*,PHD*) Instituto
Superior Técnico Carlos Santiago
(MSc*,PhD*) Instituto
Superior Técnico Jorge
F. Nunes (MSc) Pedro
Sequeira (MSc) Rui
Jesus (MSc*) Polytechnic Institute of Lisbon Fábio Silva (MSc*) Ricardo Martins (MSc*) Deloitte,
Portugal Luis Rosado (MSc*) Fraunhofer
Portugal João Pacheco (MSc*) OptimizingLives João Fernandes (MSc*) Mitsubishi
Europe Eduardo Bicacro (MSc*) Boston Consulting Group Sérgio Copeto (MSc*) Albatroz Engineering Ana Mazo (MSc*) Geutebrück GmbH Spain Marta de Aguero (MSc*) Telefónica,
Spain Mariana Francisco (MSc*) VAMED Management und Service
Germany Margarida Ruela (MSc*) Feedzai Pedro Morgado (MSc*) University of California, San
Diego, USA João Antunes (MSc*) CMU,
USA Rebeca Bastos (MSc*) Vodafone André Coelho (MSc*) Glintt Magda Rocha (MSc*) Altran Ricardo Fernandes (MSc*) Instituto
Superior Técnico *co-supervised. |
Collaborations Alexandre Bernardino Instituto
Superior Técnico André Marçal University of Porto Andrew Gee University
of Cambridge Fausto Pinto Hospital
de Santa Maria Gilles Celeux Université
Paris-Sud João Miranda Lemos Instituto
Superior Técnico Jorge Rozeira Hospital
Pedro Hispano M. Emre Celebi Louisiana State University Margarida Silveira Instituto
Superior Técnico Mário Figueiredo Instituto
Superior Técnico Miguel Barão University
of Évora Nicolás Pérez de la Blanca University
of Granada Paula Rocha University
of Porto Paulo Jorge Ferreira University
of Aveiro Pedro Pina Instituto
Superior Técnico Richard Prager University of Cambridge Teresa Mendonça Universidade do Porto |
Topics
I work in image and signal processing from a model
based point of view. The main question I try to address is: how can we extract useful
information from signals and images and e.g., segment organs in medical images,
track pedestrians in video signals or detect abnormal behaviors.
I have been involved in the following problems:
Image
Processing
(object tracking and
robust deformable models)
I am interested in the estimation and tracking of moving objects in
video sequences, using deformable models (elastic curves and surfaces). The
main challenges I try to address concern the development of robust estimation
methods for shape tracking.
This work was done in
collaboration with Jacinto Nascimento, Arnaldo Abrantes, Gilles Celeux, João
Lemos, Margarida Silveira.
Biomedical Applications
I have been
involved in two problems: estimation of 3D volumes from a set of
noisy ultrasound images (3D ultrasound) and organs segmentation and tracking
using robust deformable models.
We developed volume reconstruction algorithms for free hand 3D
ultrasound. Volume reconstruction is
done taking into account multiplicative (speckle) noise, geometric deformations
and nonlinear measurements which occur duting the acquisition process.
We have also developed robust tracking algorithms for deformable shapes
with outlier rejection and multiple dynamic models. We have applied these
algorithms to track the left ventricle of the heart in ultrasound images.
We are currently involved in the project
ADDI.
This work was done in collaboration with João Sanches, Jacinto
Nascimento.
Surveillance
This work aims to track moving pedestrians in a vídeo-surveillance system
and to characterize their activities.
We have developed a system to track pedestrians in groups which can deal
with group merging and splitting. This system is based on statistical inference
with Bayesian networks.
We can also characterize human activities using hierarchical dynamical
models. We learn a set of atomic activities from the video sequence (standing,
moving left, right, etc) are define higher order models based on sequences of
atomic activities.
We are currently involved in the project ARGUS.
This work was done in collaboration with Jacinto Nascimento, Mário
Figueiredo, Arnaldo Abrantes, Pedro Jorge, João Lemos,
Manifold Learning
The image of a face has hundreds of variables. The space dimension n is
very high. However there is a strong dependence among these variables. Valid
face images belong to a subset (manifold) of the n-dimensional space with a low
intrinsic dimension. How can we estimate this subset (manifold), its dimension
and use this information to improve image processing task? This problem has
been recently addressed by a number of researchers.
We tried to address these questions in the Ph. D. work of Jorge Silva
and develop a method for manifold estimation which we call tangent bundle
approximation.
This work was done in collaboration with Jorge Silva, João Lemos.
Selected Publications
1. Arnaldo J. Abrantes, A Class of Constrained Clustering Algorithms for
Object Boundary Extraction, IEEE Trans. Image Processing, 1507-1521, 1996.
2. Gilles Celeux, Jorge S. Marques, Jacinto Nascimento, Learning Switching
Dynamic Models for Objects Tracking, Pattern Recognition, vol. 37, nº9 , 1835-1840, September 2004.
3. Jacinto Nascimento, Jorge S. Marques, Robust Shape Tracking in the
Presence of Cluttered Background, IEEE Transactions on Multimedia, Vol. 6, no. 6, December, 2004.
4. Jacinto C. Nascimento, Jorge S. Marques, Adaptive Snakes Using the EM Algorithm, IEEE Transactions on Image Processing, Volume 14, Issue 11, 1678 – 1686, Nov. 2005.
5.
João M. Sanches,
Jorge S. Marques, Joint image registration and volume reconstruction for 3D ultrasound, Pattern Recognition Letters,
Special Issue on Ultrasonic Image Processing and Analysis, vol 24, 791-800, February 2003.
6. João M. Sanches, Jorge S. Marques, A Multi-Scale Algorithm for Three
Dimensional Free Hand Ultrasound, Ultrasound in Medicine and Biology, Vol. 28, 1029-1040, August 2002.
7.
Jacinto Nascimento, João Sanches, Jorge S. Marques, A Method for the
Dynamic Analysis of the Heart Using a Lyapounov Based Denoising Algorithm, IEEE
Engineering in Medicine and Biology Society (EMBS), New York, USA, Aug., 2006.
8. Jacinto Nascimento, João M. Sanches, Jorge S. Marques, Tracking the left ventricle in ultrasound images based on total variation denoising, Pattern Recognition and Image Analysis, LNCS 4477, vol. 2, 628-635, June 2007.
9. Jacinto C. Nascimento, Mario A. T. Figueiredo, Jorge
S. Marques, Independent Increment Processes for Human Motion Recognition,
Computer Vision and Image Understanding, accepted, 2007.
10. Jacinto C. Nascimento, Jorge S. Marques, Performance
Evaluation of Object Detection Algorithms for Video Surveillance, IEEE
Transactions on Multimedia, Vol. 8, No. 4, 761-774, August 2006.
11. Pedro M. Jorge, Arnaldo J. Abrantes, J. M. Lemos,
Jorge S. Marques, Long Term Tracking of Pedestrians with Groups and Occlusions,
in Bayesian Network Technologies: Applications and Graphical Models, Ankush
Mittal and Dr. Ashraf Kassim (eds.), Chapter VIII, in press, 2007.
12. Jorge G. Silva, Jorge S. Marques, João M. Lemos, Selecting
Landmarkpoints for Sparse manifold Learning, NIPS, 2005.