计算机应用 ›› 2010, Vol. 30 ›› Issue (10): 2715-2717.
• 模式识别 • 上一篇 下一篇
莫林1,刘勋1,郑华2
收稿日期:
修回日期:
发布日期:
出版日期:
通讯作者:
Received:
Revised:
Online:
Published:
Contact:
摘要： 提出一种静止摄像机条件下干扰自适应的运动目标检测方法。将视频中同一像素的像素值的变化看做信号，先计算像素值信号的均值，再计算像素值信号围绕均值波动的能量，最后通过比较波动能量来判断像素点属于前景点或背景点。实验结果表明，与混合高斯模型等常用的运动目标检测算法相比，该方法有更强的干扰自适应性和更高的灵敏度。
关键词: 信号能量, 运动检测, 混合高斯模型, 干扰去除
Abstract: An interference adaptive approach to detect moving objects under the condition with a static camera was proposed. Considering the change of the same pixel value in the video as a signal, the mean value of pixel signals was computed at first. Then the energy of signal values' waving around the pixel mean was also computed. After that, it was judged whether the pixel belongs to background or foreground through the comparison of the wave energy. Compared to the common moving objects detection approachs such as mixture Gaussian model, this approach has better interference adaptive performance and higher sensitivity.
Key words: signal energy, motion detection, mixture Gaussian model, interference removal
中图分类号:
TP391.41
莫林 刘勋 郑华. 视频信号的能量分析与运动检测[J]. 计算机应用, 2010, 30(10): 2715-2717.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://www.joca.cn/CN/
http://www.joca.cn/CN/Y2010/V30/I10/2715
