Robust Background Modeling Based on Multiscale Color Description

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.

作者: Kahlil Muchtar Chih-Yang Lin Li-Wei Kang Chia-Hung Yeh

作者单位: Asia University, Taichung Academia Sinica, Taipei National Sun Yat-sen University, Kaohsiung

会议类型: 国际会议

会议名称: 2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)

会议地点: 西安

会议语种:英文

页码: 1-4

在线出版日期: 2011-10-18（万方平台首次上网日期，不代表论文的发表时间）