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 conferencePaperpeer-review

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 languageEnglish
Pages748-751
Number of pages4
Publication statusPublished - 2011
Externally publishedYes
EventAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China
Duration: 2011 Oct 182011 Oct 21

Other

OtherAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
Country/TerritoryChina
CityXi'an
Period2011/10/182011/10/21

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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