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基于改进的ViBe算法的红外目标检测 被引量:2

Infrared object detection based on improved ViBe algorithm
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摘要 针对ViBe算法第一帧图像中含有运动的目标时容易引入"鬼影"及不能完整提取前景目标的问题,在原算法的基础上融合帧间差分法、Canny边缘检测,采用中值滤波、形态学算子进行后处理。实验结果表明,本文算法能很快消除"鬼影",并能比较完整地提取出红外运动目标。 As the ViBe algorithm will introduce an artifact commonly called a ghost when there are moving objects in the first frame and can′t segment the object completely,an improved algorithm based on ViBe is proposed. Frame subtraction and Canny is added in the algorithm. On this basis, the morphological image processing technique and median filter is used to improve the algorithm. The experiment results indicate that our model can remove the ghost fast and extract objects completely.
出处 《微型机与应用》 2014年第13期35-37,41,共4页 Microcomputer & Its Applications
关键词 背景建模 ViBe 红外目标检测 帧间差分法 background model ViBe infrared object detection frame subtraction
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参考文献5

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