背景模型选择的目标检测

Target detection based on background model selection

针对视频图像中的目标检测问题,提出基于模型选择的背景模型建模方法,并在此基础上实现了目标检测。该方法能够有效地根据视频图像的复杂度对其背景进行建模。对简单视频图像选择改进的均值法背景模型,对复杂视频图像则选择码本模型。以信息论中的熵和边缘比率作为依据,判断图像的复杂度,进而选择建立相应的背景模型。实验结果表明,提出的算法模型具有很好的目标检测效果,并可以较精确地处理不同复杂度的视频图像。

A background model modeling method based on model selection is proposed to realize target detection in video image. With the proposed method,the background of the video image is effectively modeled according to the complexity of the video image. The improved mean value method background model is used to process the simple video image,and the codebook model is used to process the complex video image. The complexity of the image is judged on the basis of entropy in information theory and edge ratio,so as to select the corresponding background model. The experimental results show that the algorithm model has perfect target detection effect,and can process the video image with different complexities accurately.