Publication
Improving foreground detection for adaptive background segmentation
Conference Article
Conference
CVC Workshop on Computer Vision: Advances in Research & Development (162)
Edition
1st
Pages
1-6
Doc link
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
This paper tries to manage with the nonincorporation of erroneous foreground objects to the background model, and the incorporation of those detected objects which cease their movement. These newly 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.
Author keywords
motion analysis, adaptive background segmentation, surveillance, background subtraction, motion segmentation
Scientific reference
I. Huerta, D. Rowe, J. Gonzàlez and J.J. Villanueva. Improving foreground detection for adaptive background segmentation, 1st CVC Workshop on Computer Vision: Advances in Research & Development, 2006, Bellaterra, Espanya, pp. 1-6, 2006, UAB, Bellaterra, Espanya.
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