Normalized rgb color model based shadow detection
基于归一化rgb彩色模型的运动阴影检测

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.