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Título: | Efficient incorporation of motionless foreground objects for adaptive background segmentation |
Autor: | Huerta, Iván; Rowe, Daniel; Gonzàlez, Jordi; Villanueva, Juan J. | Palabras clave: | Pattern recognition: Computer vision Computer vision |
Fecha de publicación: | 2006 | Editor: | Springer Nature | Citación: | 4th Conference on Articulated Motion and Deformable Objects: pp. 424-433 (2006) | Resumen: | In this paper, we want to exploit the knowledge obtained from those detected objects which are incorporated into the background model since they cease their movement. These motionless foreground objects should be handled in security domains such as video surveillance. This paper uses an adaptive background modelling algorithm for moving-object detection. Those detected objects which present no motion are identified and added into the background model, so that they will be part of the new background. Such motionless agents are included for further appearance analysis and agent categorization. | Descripción: | Conference on Articulated Motion and Deformable Objects (AMDO), 2006, Andratx (Spain) | URI: | http://hdl.handle.net/10261/30365 | DOI: | 10.1007/11789239_44 | ISBN: | 9783540360315 |
Aparece en las colecciones: | (IRII) Comunicaciones congresos |
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Efficient incorporation.pdf | 1,51 MB | Adobe PDF | Visualizar/Abrir |
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