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一种改进的运动目标检测
引用本文:刘远军,杨胜,雷海龙.一种改进的运动目标检测[J].邵阳学院学报(自然科学版),2010,7(1):36-39.
作者姓名:刘远军  杨胜  雷海龙
作者单位:1. 湖南大学,计算机与通信学院,湖南,长沙,410082;邵阳学院,信息工程系,湖南,邵阳,422000
2. 湖南大学,计算机与通信学院,湖南,长沙,410082
摘    要:针对现有方法在复杂的环境下不能很好地检测出运动物体的问题,提出了一种改进的基于混合高斯模型的背景消减法检测运动目标.改进了背景模型的更新算法,提高了背景更新速度.利用帧间差分法消除了"鬼影"问题,同时采用动态阈值分割算法,提高了准确性.实验结果表明,该算法能很好地提取出运动目标.

关 键 词:混合高斯模型  运动检测  动态阈值

An Improved Moving Object Detection
LIU Yun-jun,YANG Sheng,LEI Hai-long.An Improved Moving Object Detection[J].Journal of Shaoyang University:Science and Technology,2010,7(1):36-39.
Authors:LIU Yun-jun  YANG Sheng  LEI Hai-long
Institution:LIU Yun-jun1,2,YANG Sheng1,LEI Hai-long1 (1.Institute of Computer , Communications,Hunan University,Changsha,Hunan 410082,2. Information Engineering Department,Shaoyang University,Shaoyang,Hunan 422000)
Abstract:In the view of the current complex environment ,the detection of moving objects can not be satisfactory with traditional methods. The background of diminishing method based on the improved mixture Gaussian model was presented,a new method is used to update the background more quickly. Through using the frame difference ,the problem of moving ghost.,Meanwhile,a dynamic optimization threshed method was used which raises the accuracy. The experimental results indicate that the moving body can be extracted effe...
Keywords:GMM  motion detection  dynamic thread  
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