摘要
针对传统运动目标检测方法的不足,提出一种新型的背景减法和背景更新相结合的运动目标检测方法。在该方法中,首先应用动态阀值背景减法能很好地弥补固定阀值背景减法容易造成误判的不足,实现绝大部分运动像素的提取;接着基于双阀值计数的局部背景更新策略能及时更新背景,克服传统背景更新方法的缺点;最后运用多次形态学处理去除各类噪声,并起到磨光图像边缘的效果。实验结果表明,所提出的新方法运算复杂度低,能够在复杂的背景环境下很好地检测出运动目标。
A new method for motion target detection by background subtraction and update is proposed,thus to remedy the deficiencies of the traditional detection methods.In this scheme,the dynamic threshold could make up the shortcomings of misjudge by fixed threshold background subtraction so as to extract most motion pixels.The local background updating strategy based on double threshold counting could promptly update background and overcome the shortcomings of the traditional background updating methods.The morphological processing method is employed to remove various noises and polish the image edge.The experimental results show that the proposed method has the low computational complexity,and could effectively detect the motion target under the very complex background.
出处
《通信技术》
2011年第10期49-51,共3页
Communications Technology
基金
2010年广州市科技计划支撑项目:视频格式转码算法研究及AVS转码器设计(No.2010J-D00411)
关键词
背景减法
背景更新
形态学处理
background subtraction
background update
morphological processing
