一种用于视频目标检测的时空背景建模方法

针对传统时域统计背景模型只关注于单个像素的统计特征而忽略背景像素之间的相互关联,同时不能很好地适应目标进入场景并静止的情形,在高斯背景模型基础上,融合背景的空间统计特征,建立一个时空联合的背景模型.结合背景的空间区域特征和像素的亮度变化更新背景,使得背景更新过程中保持背景的空间特征.实验结果表明,利用该方法建立的背景模型进行目标检测,能有效检测移入静止的目标,克服了传统检测方法检测目标中的空洞,检测到的目标完整性有较大提高,有利于后续的进一步处理.

A Temporal-spatial Background Model for Video Objects Detection

Foreground obj ects detection from sequence images is the foundation of intelligence surveillance system.The key step of background subtraction based detection method is building background of the scene.A novel temporal-spatial background of single modal scene has been proposed in this paper.Firsdy,the temporal Gaussian model of each pixel in background is built.Then it clusters the models by their mean value to get together pixels in the same region of scene and it separates pixels which have been put toge...