Perimeter Intrusion Detection based on improved Surendra Background Update Algorithm

摘要：

An improved Surendra background update algorithm for moving targets detection is proposed in this paper, which is beneficial to the background update and can automatically change threshold. Firstly, the initial background frame can be obtained through the arithmetic average to the first few frame images. Secondly, The OTSU method is used for adaptive threshold selection to background updating, so that the moving objects can be obtained by morphological processing. Experiments show that the improved Surendra background updating algorithm can detect the moving targets effectively and overcome the original methods shortcoming which needs to manually intervene the threshold. The impact of such background disturbances and illumination changes to moving targets detection has a good inhibition.

关键词： Surendra algorithm intrusion detection OTSU method

作者: Feng Ding Hong Wang Hongsheng Zhong Longhua Yu

作者单位: University of Electronic Science and Technology of China. Chengdu, China, 611731

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 629-633

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）