Robust background modeling based on multiscale color description

Kahlil Muchtar; Chih Yang Lin; Li Wei Kang; Chia Hung Yeh

Robust background modeling based on multiscale color description

Kahlil Muchtar, Chih Yang Lin, Li Wei Kang, Chia Hung Yeh

機械工程學系

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

3 引文斯高帕斯（Scopus）

摘要

Background subtraction is the basis of object detection and tracking for machine vision systems. Traditional background modeling methods often require complicated computations and are sensitive to illumination changes and shadow interference. In this paper, we propose a multiscale background modeling method, which fully utilizes the color characteristics of each incoming frame. The proposed method is quite efficient and is capable of resisting illumination changes and shadow disturbance. Experimental results show that our method is suitable for real-world scenarios and real-time applications.

原文	???core.languages.en_GB???
頁面	748-751
頁數	4
出版狀態	已出版 - 2011
事件	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China 持續時間: 18 10月 2011 → 21 10月 2011

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???event.eventtypes.event.conference???	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
國家/地區	China
城市	Xi'an
期間	18/10/11 → 21/10/11

引用此

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title = "Robust background modeling based on multiscale color description",

abstract = "Background subtraction is the basis of object detection and tracking for machine vision systems. Traditional background modeling methods often require complicated computations and are sensitive to illumination changes and shadow interference. In this paper, we propose a multiscale background modeling method, which fully utilizes the color characteristics of each incoming frame. The proposed method is quite efficient and is capable of resisting illumination changes and shadow disturbance. Experimental results show that our method is suitable for real-world scenarios and real-time applications.",

author = "Kahlil Muchtar and Lin, {Chih Yang} and Kang, {Li Wei} and Yeh, {Chia Hung}",

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TY - CONF

T1 - Robust background modeling based on multiscale color description

AU - Muchtar, Kahlil

AU - Lin, Chih Yang

AU - Kang, Li Wei

AU - Yeh, Chia Hung

PY - 2011

Y1 - 2011

N2 - Background subtraction is the basis of object detection and tracking for machine vision systems. Traditional background modeling methods often require complicated computations and are sensitive to illumination changes and shadow interference. In this paper, we propose a multiscale background modeling method, which fully utilizes the color characteristics of each incoming frame. The proposed method is quite efficient and is capable of resisting illumination changes and shadow disturbance. Experimental results show that our method is suitable for real-world scenarios and real-time applications.

AB - Background subtraction is the basis of object detection and tracking for machine vision systems. Traditional background modeling methods often require complicated computations and are sensitive to illumination changes and shadow interference. In this paper, we propose a multiscale background modeling method, which fully utilizes the color characteristics of each incoming frame. The proposed method is quite efficient and is capable of resisting illumination changes and shadow disturbance. Experimental results show that our method is suitable for real-world scenarios and real-time applications.

UR - http://www.scopus.com/inward/record.url?scp=84866844135&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:84866844135

SP - 748

EP - 751

T2 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011

Y2 - 18 October 2011 through 21 October 2011

ER -

Robust background modeling based on multiscale color description

摘要

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