【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。更多还原

【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.更多还原