Wavelet-based moving object segmentation using background registration technique

被引：0

作者：

Im, Tae Hyung ^{[1
]}

Eom, Il Kyu ^{[1
]}

Kim, Yoo Shin ^{[1
]}

机构：

[1] Pusan Natl Univ, Dept Elect Engn, Pusan 609735, South Korea

来源：

PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING | 2007年

关键词：

moving object segmentation; wavelet coefficient; change detection; background registration; video object plane;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes wavelet-based moving object segmentation using change detection and background registration technique. The inter-frame difference for detecting change was calculated by using high frequency coefficients in wavelet subbands. The background was constructed with low frequency wavelet coefficients which were the approximated version of the original image. Combining detected changes and constructed backgrounds, we propose an efficient moving object segmentation algorithm. Our experimental results show that our proposed method obtains accurate video object planes (VOPs) in a video sequence.

引用

页码：84 / 88

页数：5

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