Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/17554
Título: | A segmentation approach for object detection on highly dynamic aquatic environments |
Autor(es): | Peixoto, Nuno Cardoso, Nuno Cabral, Jorge Tavares, Adriano Mendes, A. José |
Palavras-chave: | Image segmentation Automated video surveillance |
Data: | Nov-2009 |
Editora: | IEEE |
Revista: | IEEE Open Journal of the Industrial Electronics Society |
Resumo(s): | The majority of segmentation methods applied to outdoor environments are not suitable to highly dynamic backgrounds, like in an outdoor swimming pool. This paper presents a new method for image segmentation of objects with a background with random noise generated by water oscillation. The key feature of this segmentation method is based on processing hue component of color in HSV color space on a pre-determined image area. This component is not affected by reflections, splashes, random water movements and overall scene light changes on the water surface. Foreground is extracted based on combination of temporal background estimation with spatial correction and inter-frame subtraction. The algorithm was applied and tested in a real situation, specifically on an outdoor domestic pool, showing good robustness and reliability with less computational load. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/17554 |
ISBN: | 978-1-4244-4648-3 |
DOI: | 10.1109/IECON.2009.5414893 |
ISSN: | 1553-572X |
Versão da editora: | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5414893 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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A Segmentation Approach for Object Detection on .pdf Acesso restrito! | 818,36 kB | Adobe PDF | Ver/Abrir |