Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About

About

Ph.D. in Computer Engineering, master in Biomedical Engineering and graduated in Electrical and Computer Engineering by FEUP (Faculdade de Engenharia da Universidade do Porto). Worked at Infineon Technologies, Mindelo, Portugal, at CERN - Center Europeénne pour la Recherche Nucléaire, Geneva, Switzerland as Informatics Engineer and at ProjectBox, Viseu, Portugal, at the Computer Vision department.

She has been a public college professor since 2008. She is currently an adjunct professor at ESMAD - Escola Superior de Media Artes e Design, Vila do Conde, Portugal. She was a researcher at the LOME - Laboratory of Optics and Experimental Mechanics at FEUP. She currently collaborates with INESC - TEC (Institute of Systems and Computer Engineering - Technology and Science) at the Telecommunications and Multimedia Center, focusing on the areas of image processing and computer vision research. Has several articles published in national and international magazines and a book published in the field of Computer Vision.

Interest
Topics
Details

Details

Publications

2016

Video Based Group Tracking and Management

Authors
Pereira, A; Familiar, A; Moreira, B; Terroso, T; Carvalho, P; Corte Real, L;

Publication
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016)

Abstract
Tracking objects in video is a very challenging research topic, particularly when people in groups are tracked, with partial and full occlusions and group dynamics being common difficulties. Hence, its necessary to deal with group tracking, formation and separation, while assuring the overall consistency of the individuals. This paper proposes enhancements to a group management and tracking algorithm that receives information of the persons in the scene, detects the existing groups and keeps track of the persons that belong to it. Since input information for group management algorithms is typically provided by a tracking algorithm and it is affected by noise, mechanisms for handling such noisy input tracking information were also successfully included. Performed experiments demonstrated that the described algorithm outperformed state-of-the-art approaches.

Supervised
thesis

2016

Multicamera System for Automatic Positioning of Objects in Game Sports

Author
Miguel Soares Moreira

Institution
UP-FEUP