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基于背景差分和信息熵的运动目标检测算法
引用本文:郑佳,李江勇.基于背景差分和信息熵的运动目标检测算法[J].激光与红外,2014,44(5):563-566.
作者姓名:郑佳  李江勇
作者单位:华北光电技术研究所,北京 100015
摘    要:提出一种目标检测算法,首先选取视频的第一帧作为背景帧,运用加权累加图像方法更新背景图像,背景图像的更新速率通过相邻帧的差分结果决定,再运用背景差分算法提取出运动目标。计算运动目标的区域的熵值,通过熵值判断出特征目标。实验结果表明,该算法简单,稳定性好,能够较好解决动态背景的问题并且检测出特定目标。

关 键 词:背景差分  帧间差分  运动目标  信息熵

Moving target detection based on background difference and information entropy
ZHENG Ji,LI Jiang-yong.Moving target detection based on background difference and information entropy[J].Laser & Infrared,2014,44(5):563-566.
Authors:ZHENG Ji  LI Jiang-yong
Abstract:A new algorithm to detect targets is proposed.Firstly,the first frame of video is used as the background frame,then the weighted accumulative image way is used to update the background.The update rate of background image is determined by the adjacent frame difference,the moving target is extracted by background difference algorithm.The entropy of moving target area is calculated,the characteristics of the target is estimated by entropy value. The simulation results show that the algorithm is simple and has good stability,and it can better solve the problem of dynamic background and detect the specific goal.
Keywords:background difference  frame difference  moving target  information entropy
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