Publication
Efficient incorporation of motionless foreground objects for adaptive background segmentation
Conference Article
Conference
Conference on Articulated Motion and Deformable Objects (AMDO)
Edition
4th
Pages
424-433
Doc link
http://dx.doi.org/10.1007/11789239_44
File
Authors
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Huerta Casado, Ivan
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Rowe, Daniel
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Gonzàlez Sabaté, Jordi
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Villanueva Pipaón, Juan José
Projects associated
Abstract
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.
Categories
computer vision.
Scientific reference
I. Huerta, D. Rowe, J. Gonzàlez and J.J. Villanueva. Efficient incorporation of motionless foreground objects for adaptive background segmentation, 4th Conference on Articulated Motion and Deformable Objects, 2006, Andratx, Espanya, in Articulated Motion and Deformable Objects, Vol 4069 of Lecture Notes in Computer Science, pp. 424-433, 2006, Springer, Berlin, Alemanya.
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