MOTION OBJECT DETECTION OF VIDEO BASED ON PRINCIPAL COMPONENT ANALYSIS

摘要：

As the traditional method of background subtraction is interfered greatly by external factors, such as light, this paper proposes a method which utilizes three adjacent frames of image sequences to compute the principal components at first, then extracts the second principal component to remove the background of image. Through employing the operation of mathematical morphology and an improved background subtraction, it can remove the background of image efficiently, and implement quick detection. The result of experiment proves that, this method can improve efficiency and precision of detection, and has its practical value in the video monitoring.

关键词： Principal component analysis Top-hat transformation Bottom-hat transformation Background updating

作者: CHAO-YANG ZHANG BAO-CHANG PAN SHENG-LIN ZHENG XIAO-JUN CAO

作者单位: Faculty of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2938-2943

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）