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- Automatic detection of human faces in uncontrolled environments: identification of direction and movementPublication . Pinho, Miguel Coelho de; Ribeiro, Nuno Magalhães; Gouveia, Feliz RibeiroThis paper presents an application for automatic face detection on video streams from surveillance cameras in public or commercial places. In many situations it is useful to detect where to are people looking for, e.g. in exhibits, commercial mals, and public places in buildings. Our application is designed to work with surveillance cameras that are already available in those places, and do not imply an extra acquisition cost. The paper begins with a review of techniques used for face detection, a brief introduction to the OpenCV library, and of the requirements for the application. We then describe our approach, and present the main algorithms we used. We then perform an evaluation of the application, analyzing its performance throughout the processing, and analyze the accuracy of the recognition. We performed tests in real-time and off-line. The results are encouraging, and we identify limitations and improvements that can be introduced to decrease the error rate.
- Modelos de Governação na Sociedade da Informação e do ConhecimentoPublication . Gouveia, Luis Borges; Carvalho, Carlos; Gouveia, Feliz Ribeiro; Moreira, José; Ruivo, José; Neves, Nuno; Gomes, PedroEstudo sobre Modelos de Governação na Sociedade da Informação e do Conhecimento
- TrollPublication . Dinis, Maria Alzira Pimenta; Gouveia, Feliz Ribeiro
- Report presenting the first results of LookCrim ProjectPublication . Nunes, Laura M.; Sani, Ana Isabel; Dinis, Maria Alzira Pimenta; Gouveia, Feliz Ribeiro; Oliveira, Gisela; Guerreiro, Maria João; Freitas, Pedro; Estrada, Rui; Maia, Rui Leandro; Caridade, Sónia; Azevedo, Vanessa; Paulo, Daniela; dos Santos, Hugo; Ferreira, Inês; Gonçalves, Maria João
- A conceptual approach for non-material heritage: the case of the Hat IndustryPublication . Gouveia, Feliz Ribeiro; Lira, SérgioEste artigo analisa o actual trabalho da equipa de investigação na área dos Sistemas de Informação para Museus, especialmente no que respeita a museus de indústria, onde uma das mais significativas tarefas é preservar não apenas cultura material mas também tradição oral, procedimentos tradicionais, contextos culturais e sociais, história local e experiências sensoriais como sons e cheiros. O nosso estudo actual é o Museu da Indústria de Chapelaria, cujo projecto está em desenvolvimento em S. João da Madeira, o mais importante centro industrial de chapelaria do país no século passado. O projecto do Museu pretende integrar toda a comunidade local e regional, analisando, descrevendo e interpretando a realidade económica e social. Neste artigo apresentamos uma proposta conceptual para a recolha e uso de património não-material, um dos aspectos mais relevantes do projecto em curso. This paper describes our current work in the area of Museum Information Systems, namely for crafts and industry museums, where the main concern is to preserve and document not only material artefacts but also oral traditions, know-how, processes, cultural and social contexts, local history, sounds, tactile experiences and smells. Our case study is a Hat Industry Museum, which is being created in the North of Portugal, at the heart of what was, in the last century, the biggest hat-manufacturing centre. As such, the Museum will be also a tribute to the social and economic life of a whole region. We propose a conceptual approach for describing non-material heritage, its application to our case study, and we review current efforts that can be used and integrated in the museum community.
- Automating city accessibility constraints mapping through AI‐assisted scanning of street view imageryPublication . Silva Moreira, Rui; Moita, Sérgio; Torres, José Manuel; Alberto Ribeiro Gouveia, Feliz; Dinis, Maria Alzira Pimenta; Ferreira, Diogo; Pereira, Madalena Sofia Araujo; Guerreiro, Maria João S.; Zhou, GuyueUrban environments often pose challenges for individuals with mobility impairments due to inadequate pedestrian infrastructure. In addition, the lack of accurate mapping of accessibility features limits the ability to monitor and address these constraints effectively. This paper introduces a framework for Automating City Accessibility Mapping using AI (ACAMAI), that is, provides an AI-assisted pipeline for the automated identification and geolocation of urban accessibility constraints using Google Street View (GSV) panoramas. The ACAMAI pipeline comprises two main stages: (i) training a YOLOv8 object detector to recognise accessibility-related features, such as curb ramps, missing ramps, obstacles and surface problems, in 2D sidewalk images; and (ii) scanning 360° GSV panoramas by extracting multiple perspective views to be analysed by the trained model. The model was trained on a combination of international (Project Sidewalk Dataset—PSD) and local (Porto Dataset—PTD) datasets, achieving high performance across classes, including 91% recall and 85% precision for curb ramps. In the panorama scanning stage, using a fine angular iterative step (2°) maximised the recall, reaching 90% for curb ramps and 93% for obstacles in a locally annotated dataset (GSV Panorama Porto Dataset—GSV-PPD). Although this improved detection coverage, it also led to a high number of redundant predictions, which contributed to a reduced overall precision. Finally, identified constraints are georeferenced and mapped onto OpenStreetMap (OSM), supporting scalable and inclusive urban planning.
- Course syllabus and report: Advanced Database SystemsPublication . Gouveia, Feliz Ribeiro
- Advanced Database Systems - Snapshot IsolationPublication . Gouveia, Feliz Ribeiro
- Crime (In)Segurança e MediatizaçãoPublication . Estrada, Rui; Dinis, Maria Alzira Pimenta; Maia, Rui Leandro; Nunes, Laura M.; Sani, Ana Isabel; Azevedo, Vanessa; Freitas, Pedro; Gouveia, Feliz Ribeiro; Guerreiro, Maria João; Caridade, Sónia; Oliveira, Gisela; Trindade, Jorge
- A model and a system for cultural heritage: the case of the hat industryPublication . Gouveia, Feliz Ribeiro; Lira, SérgioThis paper describes our current work in the area of Museum Information Systems, namely for crafts and industry museums, where the main concern is to preserve and document not only material artefacts but also oral traditions, know-how, processes, cultural and social contexts, local history, sounds, tactile experiences and smells. Our case study is a Hat Industry Museum, which is being created in the North of Portugal, at the heart of what was, in the last century, the biggest hat manufacturing center. As such, the Museum will be also a tribute to the social and economic life of a whole region. We propose and describe a conceptual approach and an information system for describing non-material heritage and its application to our case study. Este trabalho descreve um projecto na área de Sistemas de Informação para Museus, especificamente para Museus de Indústria, onde existe a preocupação de preservar e documentar não só património material, mas também tradições orais, experiências, processos, aspectos sociais e culturais, história, sons, e experiências sensoriais. O nosso caso de estudo é o Museu da Indústria da Chapelaria em S. João da Madeira, em criação no coração da região que foi o maior centro industrial da chapelaria em Portugal. O Museu pretende ser um testemunho da vida económica e social de toda uma região. É feita uma proposta de um modelo conceptual e de um sistema para representar património imaterial, e é descrita a sua aplicação ao caso de estudo.