Moving Objects Detection Based on Hysteresis Thresholding

NCUIR > Engineering College > Departmant of Mechanical Engineering > journal & Dissertation > Item 987654321/108970

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/108970

Title:	Moving Objects Detection Based on Hysteresis Thresholding
Authors:	林智揚;Lai, Hsiang-Erh;Lin, Chih-Yang;Chen, Ming-Kai;Kang, Li-Wei;Yeh, Chia-Hung
Contributors:	工學院機械工程學系
Keywords:	Artificial intelligence;background modeling;hysteresis thresholding;moving objects detection
Date:	2013-06-28
Issue Date:	2026-04-23 15:18:26 (UTC+8)
Publisher:	Springer Verlag;Germany: Springer Berlin / Heidelberg
Abstract:	摘要： Background modeling is the core of event detection in surveillance systems. The traditional Gaussian mixture model has some defects when encountering some situations like shadow interferences, lighting changes, and other problems causing foreground image broken. All of these cases will result in deficiencies of event detection. In this paper, we propose a new background modeling method to solve these problems. The model features of our method are the combination of texture and color characteristics, hysteresis thresholding, and the motion estimation to recover broken foreground objects. 出版者： Germany: Springer Berlin / Heidelberg 出版日期： 2013 出處： Advances in Intelligent Systems and Applications - Volume 2, 2013, p.289-298 版權： Springer-Verlag Berlin Heidelberg 2013 識別號： ISSN: 2190-3018 識別號： ISBN: 9783642354724 識別號： ISBN: 3642354726 識別號： EISSN: 2190-3026 識別號： EISBN: 9783642354731 識別號： EISBN: 3642354734 識別號： DOI: 10.1007/978-3-642-35473-1_29 識別號： OCLC: 823728185 識別號： LCCallNum: Q342
Appears in Collections:	[Departmant of Mechanical Engineering ] journal & Dissertation

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