摘要
针对视频序列中由于帧与帧间的目标信息大量重叠导致运动目标的重叠部分被误检为背景,为提高检测目标的完整性,提出了背景减除与边缘检测相融合的算法。首先,利用自适应中值滤波(AMF)与均值结合的方法提取更干净的背景,然后用背景减除法得到前景的大致位置;同时用改进的Sobel算子作边缘提取;最后将这两个结果融合在一起,得到完好的运动目标图像。为了验证所提出算法的有效性,在Weizmann行为数据库上进行实验。实验结果表明,该算法简单快捷,且检测到的目标完整。
In video sequences,it generally exists that some parts of moving object overlap between different frames,such as bend,jumping-in-place,waving hands and so on.Thus,the overlapped parts are often taken as background wrongly.In order to improve the integrality of moving objects,an algorithm based on background subtraction and edge extraction is proposed.At first,the combination of adaptive median filter（AMF） and mean filtering was used to extract the cleaner background,and the general location of moving target was obtained by background subtraction.The improved Sobel operator was used to extract the complete edge from the original image simultaneously,and then the two results were fused to obtain a clear moving object.The proposed method was tested on the Weizmann human action dataset.The experimental results show that the approach is simple,and the detected object is complete with less running time.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2011年第3期418-421,共4页
Journal of Optoelectronics·Laser
基金
国家"863"高科技资助项目(2008AA01Z148)
黑龙江省杰出青年科学基金资助项目(JC200703)
作者简介
林春丽（1972-），女，辽宁省开原市人，博士研究生，副教授，主要从事图像处理、模式识别的研究．E-mail：aslcl2000@sina．com
