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一种改进的运动目标检测算法     点击次数:4103
An Improved Moving Object Detection Method
作者:师改梅 周建雄 张笑微 
单位:西南科技大学信息工程学院,四川 绵阳621010
关键词:运动目标检测  颜色信息  纹理特征  混合高斯阴影模型 
分类号:TP391.4
出版年·卷·期(页码):2009·24·第一期(68-73)
摘要:

针对目标检测过程中的背景变化、光照变化、阴影对检测的影响,提出了一种改进的运动目标检测算法。首先利用改进的统计方法建立了目标的背景模型,并实时地对背景模型进行更新,最后将检测出的目标采用融合HSV颜色信息和纹理特征的混合高斯阴影模型方法来去除阴影。实验结果证明,该算法在场景中有目标运动的情况下,能够准确地建立背景模型,并能去除阴影影响,大大提高了系统的检测准确性。
 

An advanced moving object detection method is presented for the impacts caused by background disturb, illumination change and shadows. A statistical method is used to obtain the background model, which is updated real-time. At the same time, shadow is detected using mixture gauss shadow model fusing of HSV color space and texture information. Experiment results show the presented method is effective in obtaining the background model and eliminatiing the shadow even when there is moving object in the scene.
 

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