Shadow Detecting for Moving Objects Based on Self-adaptive Background
Lan Li-bao · Modern Electronics Technique · 2008
One of the main difficulties in intelligent video surveillance is how to detect and suppress the shadow in the scene.The moving objects detection algorithm uses an improved background subtraction algorithm which is based on self-adaptive background to detect the position and the shape of objects.Then according to the shadow′s characters such as the color variation and the structure,two shadow detection algorithms which respectively based on the RGB color model and the HSV color model are introduced.In experiment,the two shadow detection algorithms are analyzed on the shadow detection accuracy,the shadow discrimination accuracy,the complexity and the real-time capability,and made the comparison of them.The results of experiment show that the shadow detection algorithms are effective and robust,and can be applied on different fields according to their advantages and disadvantages.