Improving video segmentation algorithms by detection of and adaption to altered illumination
Changing illumination constitutes a serious challenge for video segmentation algorithms, especially in outdoor scenes under cloudy conditions. Rapid illumination changes, e.g. caused by varying cloud cover, often cause existing segmentation algorithms to erroneously classify large parts of the image as foreground. Here a method that extends existing segmentation algorithms by detecting illuminatio