Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/5602
Título: | The OBSERVER: an intelligent and automated video surveillance system |
Autor(es): | Duque, Duarte Santos, Henrique Dinis dos Cortez, Paulo |
Palavras-chave: | Motion detection Image segmentation Tracking Behaviour analysis moving object detection behavior detection |
Data: | 22-Set-2006 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science |
Citação: | Duque, D., Santos, H., Cortez, P. (2006). The OBSERVER: An Intelligent and Automated Video Surveillance System. In: Campilho, A., Kamel, M.S. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867586_81 |
Resumo(s): | In this work we present a new approach to learn, detect and predict unusual and abnormal behaviors of people, groups and vehicles in real-time. The proposed OBSERVER video surveillance system acquires images from a stationary color video camera and applies state-of-the-art algorithms to segment and track moving objects. The segmentation is based in a background subtraction algorithm with cast shadows, highlights and ghost’s detection and removal. To robustly track objects in the scene, a technique based on appearance models was used. The OBSERVER is capable of identifying three types of behaviors (normal, unusual and abnormal actions). This achievement was possible due to the novel N-ary tree classifier, which was successfully tested on synthetic data. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/5602 |
ISBN: | 978-3-540-44891-4 |
e-ISBN: | 978-3-540-44893-8 |
DOI: | 10.1007/11867586_81 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007/11867586_81 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DSI - Sistemas de Computação e Comunicações |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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41410898.pdf | Artigo apresentado na ICIAR 2006 | 572,71 kB | Adobe PDF | Ver/Abrir |