Automatic threshold selection for automated visual surveillance
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Date
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Automated Visual surveillance systems mostly depend upon effective background subtraction technique. Most of the background subtraction techniques mainly suffer from parameter updates for threshold selection. Here a new threshold selection technique which is found while system trains to learn background, is proposed.
Description
IEEE 12th Signal Processing and Communications Applications Conference -- APR 28-30, 2004 -- Kusadasi, TURKEY
Keywords
Journal or Series
Proceedings of the Ieee 12Th Signal Processing and Communications Applications Conference
