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一种基于三帧差分和边缘信息的运动目标检测方法
引用本文:甘明刚,陈杰,刘劲,王亚楠.一种基于三帧差分和边缘信息的运动目标检测方法[J].电子与信息学报,2010,32(4):894-897.
作者姓名:甘明刚  陈杰  刘劲  王亚楠
作者单位:复杂系统智能控制与决策教育部重点实验室,北京,100081;北京理工大学自动化学院,北京,100081
基金项目:北京市教育委员会共建基金(1000702)资助课题
摘    要:为了改进目前常用的运动目标检测方法易受到噪声和亮度突变的影响、易出现虚假目标的情况,该文提出了一种基于3帧差分和边缘信息的运动目标检测方法。该方法首先对连续3帧图像进行边缘提取得到3帧连续的边缘图像,然后对3帧连续的边缘图像进行3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,实验结果表明该方法能对运动目标进行准确检测,且具有很好的鲁棒性。

关 键 词:运动目标检测  3帧差分  边缘提取
收稿时间:2009-9-11
修稿时间:2010-1-4

Moving Object Detection Algorithm Based on Three-Frame-Differencing and Edge Information
Gan Ming-gang,Chen Jie,Liu Jin,Wang Ya-nan.Moving Object Detection Algorithm Based on Three-Frame-Differencing and Edge Information[J].Journal of Electronics & Information Technology,2010,32(4):894-897.
Authors:Gan Ming-gang  Chen Jie  Liu Jin  Wang Ya-nan
Affiliation:School of Automation, Beijing Institute of Technology, Beijing 100081, China;Education Ministry Key Laboratory of Complex System Intelligent Control and Decision, Beijing Institute of Technology, Beijing 100081, China
Abstract:A moving object detection algorithm based on three-frame-differencing and edge information is presented in this paper. Firstly, three continuous edge images are obtained by edge extract from three continuous images, and then, the motion information is detected with three-frame-differencing, finally, the object is extracted with threshold segmentation and morphology. The result shows that the detection algorithm can detect object accurately and quickly.
Keywords:Moving object detection  Three-frame-differencing  Edge extraction
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