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五帧差分和边缘检测的运动目标检测
引用本文:舒欣,李东新,薛东伟.五帧差分和边缘检测的运动目标检测[J].计算机系统应用,2014,23(1):124-127.
作者姓名:舒欣  李东新  薛东伟
作者单位:河海大学 计算机与信息学院, 南京 211100;河海大学 计算机与信息学院, 南京 211100;河海大学 计算机与信息学院, 南京 211100
摘    要:为了改进传统三帧差分的运动目标检测方法易出现的空洞和与虚假边缘的现象, 提出了一种基于五帧差分和边缘检测相融合的运动目标检测方法。该算法首先利用优化的Canny边缘检测算法快速提取五帧连续图像的边缘图像, 然后对五帧连续的边缘图像进图像的五帧差分运算, 最后通过阈值分割和形态学处理完成对目标的提取。该方法计算简单, 实验结果表明, 该算法准确率高, 连通性好, 能满足实时性检测的要求。

关 键 词:五帧差分  边缘检测  运动目标检测  动态阈值
收稿时间:2013/5/30 0:00:00
修稿时间:2013/7/10 0:00:00

Five Frame Difference and Edge Detection of Moving Target Detection
SHU Xin,LI Dong-Xing and XUE Dong-Wei.Five Frame Difference and Edge Detection of Moving Target Detection[J].Computer Systems& Applications,2014,23(1):124-127.
Authors:SHU Xin  LI Dong-Xing and XUE Dong-Wei
Institution:College of Computer and Information, Hohai University, Nanjing 211100, China;College of Computer and Information, Hohai University, Nanjing 211100, China;College of Computer and Information, Hohai University, Nanjing 211100, China
Abstract:To improve the traditional three frame difference of moving target detection method in which the hole edge and false edge tend to appear, this paper puts forward a method based on the fusion of five frame difference and edge detection, moving object detection method. The algorithm firstly uses Canny edge detection algorithm of optimized fast extraction of five consecutive images edge image, and then to the edge of the frame of five consecutive image into five frames difference operation. Finally, by threshold segmentation and morphological processing is completed on the extraction of target. The method is simple in calculation and the experimental results show that the algorithm has high accuracy, good connectivity, and can meet the requirements of real-time detection.
Keywords:five frame difference  edge detection  moving target detection  dynamic threshold
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