摘要
Abstract
Moving target detection technology refers to extracting the change from the video images, and it is widely used in the field of military security,traffic management,video surveillance,medical examination and so on.In order to improve the shortcomings of three-frame-difference method and background subtraction,this paper presents a new moving object detection algorithm based on edge information of the three-frame-difference method combined with the background subtraction.Firstly, the current frame subtracts the previous frame and the next frame separately, the next frame subtracts the previous frame,their results are added together to get a gray-scale image .The result is divided by three.Secondly,the gray-scale image is translated into binary image after being judged by threshold.And then it will be dealt with a series of morphological processing .Thirdly,the Canny edge detection operator is introduced into the middle frame,then the two results “and”operation to get the edge of the moving object .Finally,the current frame image subtracts the background image to get an-other gray-scale image,in the same way,it is translated into binary image after being judged by threshold.Then the final two results “or”operation.The moving object is got by doing a series of morphological processing.The experimental results show that,target detection rate by using the method increased by 9.7%~72.1%,and the error detection rate is reduced by 0.090%~2.900%.The combination of the two compared with the single detection algorithm can effectively and reliably detect the moving targets.关键词
运动目标检测/三帧差法/高斯背景/canny 边缘检测/形态学处理Key words
moving target detection/three-frame-difference method/Gaussian mixture model/Canny edge detection/morphology分类
信息技术与安全科学
