Approach of Moving Objects Detection in Active Video Surveillance

被引：2

作者：

Chi Jian-nan ^{[1
]}

Zhang Chuang ^{[2
]}

Zhang Han ^{[2
]}

Liu Yang

Yan Yan-tao

机构：

[1] Univ Sci & Technol Beijing, Sch Informat Engn, Minist Educ, Key Lab Adv Control Iron & Steel Proc, Beijing 100083, Peoples R China

[2] Univ Sci & Technol Beijing, Beijing 100083, Peoples R China

来源：

PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/CDC.2009.5399604

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image multi-scale edge detection based on anti-symmetrical biorthogonal wavelet is given detailedly in theory, Especially an algorithm of wavelet decomposition in which multi-scale edge can be detected is put forward. Based on above using different kinds of wavelet decomposition data such as approximate coefficients and multi-scale edge image, a moving object detection approach in active video surveillance system is proposed. Firstly Block Matching is used to calculate motion vector in low frequency image of wavelet decomposition. Then Motion Compensation and Frame Difference between two adjacent frames applied to extract moving object information. And using multi-scale edge image of wavelet Region Growth is combined with Hough Transformation to define region of potential object. Finally object is farther segmented in object potential region. Experimental results indicate that the method presented in the paper is effective.

引用

页码：3130 / 3136

页数：7

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