Multiple objects detection based on background subtraction and Gaussian pyramid

摘要：

For the multi-object detection problems with complex background, a method which combines background subtraction with Guassian pyramid on objects detection is presented. The method detects the whole object with taking samples from the objects with Guassian pyramid, building background models, extracting foreground areas from background subtraction, and eliminating the shadow on the foreground. The detection that integrates Gauss model which concerns the background renewal of calculation, overcomes the error resulted from the sudden change of background. A dynamic threshold concept is proposed to enhance detection effect, thus it increases the possibility of implementation. The experiment results show that moving objects detected by the proposed method is more reliable than the state-of-the-art

关键词： multiple objects detection background subtraction Guassian pyramid dynamic threshold

作者: JIANG Liang ZHAN Yong-zhao

作者单位: Computer Science & Telecommunication Engineering Jiangsu University Zhenjiang Jiangsu 212013, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 245-248

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）