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About

I got a Ph.D. in Electrical and Computers Engineering, at Universidade of Porto, in 1994.

I am currently Associate Professor at the Electrical and Computers Engineering Department, Engineering Faculty of the University of Porto (FEUP), where I teach in the areas of communication systems and signal processing.

I am a Researcher at INESC TEC since 1985 and my research interests include image and video processing and computer vision.

Interest
Topics
Details

Details

003
Publications

2019

Efficient CIEDE2000-based Color Similarity Decision for Computer Vision

Authors
Pereira, A; Carvalho, P; Coelho, G; Corte-Real, L;

Publication
IEEE Transactions on Circuits and Systems for Video Technology

Abstract

2019

Stereo vision system for human motion analysis in a rehabilitation context

Authors
Matos, AC; Terroso, TA; Corte Real, L; Carvalho, P;

Publication
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

Abstract
The present demographic trends point to an increase in aged population and chronic diseases which symptoms can be alleviated through rehabilitation. The applicability of passive 3D reconstruction for motion tracking in a rehabilitation context was explored using a stereo camera. The camera was used to acquire depth and color information from which the 3D position of predefined joints was recovered based on: kinematic relationships, anthropometrically feasible lengths and temporal consistency. Finally, a set of quantitative measures were extracted to evaluate the performed rehabilitation exercises. Validation study using data provided by a marker based as ground-truth revealed that our proposal achieved errors within the range of state-of-the-art active markerless systems and visual evaluations done by physical therapists. The obtained results are promising and demonstrate that the developed methodology allows the analysis of human motion for a rehabilitation purpose. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

2018

BMOG: boosted Gaussian Mixture Model with controlled complexity for background subtraction

Authors
Martins, I; Carvalho, P; Corte Real, L; Alba Castro, JL;

Publication
Pattern Analysis and Applications

Abstract

2017

BMOG: Boosted Gaussian Mixture Model with Controlled Complexity

Authors
Martins, I; Carvalho, P; Corte Real, L; Luis Alba Castro, JL;

Publication
Pattern Recognition and Image Analysis - Lecture Notes in Computer Science

Abstract

2016

Bio-inspired Boosting for Moving Objects Segmentation

Authors
Martins, I; Carvalho, P; Corte Real, L; Luis Alba Castro, JL;

Publication
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016)

Abstract
Developing robust and universal methods for unsupervised segmentation of moving objects in video sequences has proved to be a hard and challenging task. State-of-the-art methods show good performance in a wide range of situations, but systematically fail when facing more challenging scenarios. Lately, a number of image processing modules inspired in biological models of the human visual system have been explored in different areas of application. This paper proposes a bio-inspired boosting method to address the problem of unsupervised segmentation of moving objects in video that shows the ability to overcome some of the limitations of widely used state-of-the-art methods. An exhaustive set of experiments was conducted and a detailed analysis of the results, using different metrics, revealed that this boosting is more significant when challenging scenarios are faced and state-of-the-art methods tend to fail.

Supervised
thesis

2019

Video Based tracking for 3D Scene Analysis

Author
Américo José Rodrigues Pereira

Institution
UP-FEUP

2019

Deteção de Publicidade em Conteúdos de Difusão

Author
Tiago José Rodrigues Pereira

Institution
UP-FEUP

2018

Image Processing Module for Camellia Identification

Author
Francisco Eça da Silva Próspero Luis

Institution
UP-FEUP

2018

Controlo de acessos utilizando vídeo

Author
Álvaro António Brochado Ferreira

Institution
UP-FEUP

2018

Thermal imaging for vehicle occupant monitoring

Author
Gustavo Rocha da Silva

Institution
UP-FEUP