基于归一化rgb彩色模型的运动阴影检测

提出了一种基于归一化rgb空间的运动阴影检测方法。首先推导了rgb彩色模型的光度测定不变性和它的相关重要性质；结合阴影区域在亮度和颜色上的特征,在rgb空间分割出候选阴影区域，利用区域的空间关系检测出真实的阴影。对大量不同光照条件和不同阴影投射表面的运动人视频的测试表明,该方法具有良好的适应性和鲁棒性。

Normalized rgb color model based shadow detection

A shadow detection scheme based on normalized rgb color model was proposed. Firstly, the photometric invariance of rgh color model was studied and some of its important properties were deduced. Combining the cues of moving cast shadow on brightness and chromaticity successively, this proposed shadow detection algorithm detected candidate shadow regions in rgh color space; then, a post-processing by exploiting region-based geometry information was employed to exclude pseudo shadow segments. Results were presented for several video sequences representing a variety of illumination conditions and ground materials when the shadows were cast on different surface types. These results show that this approach is robust to widely different background and illuminations.