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改进帧差与分水岭算法融合的运动目标检测法
引用本文:黄应清,赵哲,闫兴鹏,赵锴.改进帧差与分水岭算法融合的运动目标检测法[J].激光与红外,2014,44(12):1369-1373.
作者姓名:黄应清  赵哲  闫兴鹏  赵锴
作者单位:1. 装甲兵工程学院控制工程系,北京,100072
2. 装甲兵工程学院 信息工程系,北京,100072
基金项目:装甲兵工程学院创新基金项目(No.2013CJ30)资助。
摘    要:针对机器视觉系统中运动目标检测问题,在帧间差分法的基础上,提出了一种新的运动目标检测算法。采用改进的帧间差分法,融合分水岭算法分割特点,获得真实目标的轮廓,并进行实验验证。结果表明,该算法对帧差法进行改进后,得到的动态目标更接近于实际情况,改进的算法更适合于智能系统中消除杂波及对运动目标的检测。

关 键 词:目标检测  帧间差分  融合  分水岭算法  消除杂波

Moving target detection based on improved frame difference and watershed algorithm
HUANG Ying-qing,ZHAO Zhe,YAN Xing-peng,ZHAO Kai.Moving target detection based on improved frame difference and watershed algorithm[J].Laser & Infrared,2014,44(12):1369-1373.
Authors:HUANG Ying-qing  ZHAO Zhe  YAN Xing-peng  ZHAO Kai
Affiliation:Dept. of Control Engineering,Academy of Armored Force Engineering,Beijing 100072,China; Dept. of Information Engineering,Academy of Armored Force Engineering,Beijing 100072,China
Abstract:Aiming at moving target detection in machine vision systems,an improved algorithm for moving target detection based on frame difference algorithm is proposed. Combined with the segmentation characteristics of watershed algorithm,the real target profile can be obtained by using the improved frame difference method,and this method is verified through the experiments. The results show that the dynamic targets obtained by this algorithm are closer to the actual situation. In intelligent systems,the improved algorithm is more suitable to detect moving target and eliminate clutter.
Keywords:object detection  frame difference  combine  watershed algorithm  eliminate clutter
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