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一种基于梯度图像帧间差分和背景差分的运动目标检测新方法
引用本文:潘翔鹤,赵曙光,柳宗浦,王媛.一种基于梯度图像帧间差分和背景差分的运动目标检测新方法[J].光电子技术,2009,29(1).
作者姓名:潘翔鹤  赵曙光  柳宗浦  王媛
作者单位:1. 东华大学信息科学与技术学院,上海,201620
2. 西安黄河机器厂设计所,西安,710043
摘    要:提出一种基于梯度图像,融合帧间差分和背景差分的运动目标检测新方法.其特点是采用混合高斯背景模型,先利用针对梯度图像的帧间差分检出变化区域,再利用背景差分从变化区域中检出运动物体,最后利用连通性检验消去噪声和阴影.针对真实视频序列的实验结果表明,该方法既简单有效,又具有较小的运算量和较好的鲁棒性.

关 键 词:运动目标检测  梯度图像  帧间差分  背景差分

Detection of Video Moving Objects by Combining Grads-based Frame Difference and Background Subtraction
Pan Xianghe,Zhao Shuguang,Liu Zongpu,Wang yuan.Detection of Video Moving Objects by Combining Grads-based Frame Difference and Background Subtraction[J].Optoelectronic Technology,2009,29(1).
Authors:Pan Xianghe  Zhao Shuguang  Liu Zongpu  Wang yuan
Abstract:A novel approach to detection of video moving objects(VMOs) is proposed,which combines grads-based frame difference with background subtraction.Based on a mixed Gauss model of background,it finds firstly changed areas by applying frame difference to grads images derived,detects then VMOs from the areas by using background subtraction,and obtains finally noise-free VMOs by using connectivity test.Proved by the results of experiments on some real video sequences,it is rather simple,effective and robust.
Keywords:video moving objects detecting  grads images  frame difference  background subtraction  
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