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

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

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.

Original language	English
Pages	748-751
Number of pages	4
Publication status	Published - 2011
Externally published	Yes
Event	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China Duration: 2011 Oct 18 → 2011 Oct 21

Other

Other	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
Country/Territory	China
City	Xi'an
Period	2011/10/18 → 2011/10/21

ASJC Scopus subject areas

Information Systems
Signal Processing

Cite this

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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}",

year = "2011",

language = "English",

pages = "748--751",

note = "Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 ; Conference date: 18-10-2011 Through 21-10-2011",

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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.

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

M3 - Paper

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

Abstract

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ASJC Scopus subject areas

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