A Moving Objects Detection Algorithm using Iterative Division and Gaussian Mixture Model

摘要：

In the fields of intelligent video surveillance, video analysis and computer vision, moving objects detection is one of the fundamental tasks. In this paper, we present an algorithm for moving objects detection based on Gaussian mixture model and iterative division, which can be used for real time processing. We use iterative division algorithm to filter illumination variation and local variations. Then, GMM is used to update background and get pixel level precision. Experimental results show that our method, by the combination of iterative division and GMM, is able to overcome deficiency of tradition method and gain good detection results.

关键词： motion detection background subtraction iterative division Gaussian mixture model

作者: Fei He Jin Wang Xuejie Zhang Yun Gao

作者单位: School of Information Science and Technology Yunnan University Kunming,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 229-233

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）