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,提高系统的检测准确性。
An advanced moving object detection method was presented for the impacts caused by background disturb, illumination change and shadows. A statistical method was 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 that the presented method is effective in obtaining the background model and eliminating the shadow even when there is moving object in the scene.
出处
《西南科技大学学报》
CAS
2009年第1期68-73,共6页
Journal of Southwest University of Science and Technology
基金
四川省科技厅应用基础研究项目(2008LY0115-2)
四川省教育厅重点资助项目(2006A097)
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
Moving object detection
Color information
Texture character
Mixture Gaussian shadow model
