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

http://upisun4.uab.es/publicacions2.asp?id=786&hrg-2006b-improving-foreground-detection-for-adaptive-background-segmentation

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Authors

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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.