A Hierarchical Motion Detection Algorithm with the Fusion of the Two Types of Motion Information
Zhong Qin · 2005
A hierarchical motion detection algorithm, which fuses two types of motion information, is presented in this paper to handle the slow or fast changes of the background and the global illumination changes. The a1gorithm consists of three distinct levels--pixel level, region level and frame level. At the pixel level, an improved MOG--based background subtraction is introduced to get the better adaptability to the slow change of background. A method of cumulate temporal differencing, which is adaptive to the fast change of the background, is proposed to serve as auxiliary information to improve the result of background subtraction. On the region level, the moving pixels are grouped to get moving region. Then the fusion of background subtraction and cumulate temporal differencing is performed to get real moving foreground. Region level processing provides the solution for the slow and fast changes of the dynamic environments. Finally frame level analysis is performed to detect the global illumination changes and re--initialize the background model or switch among the multi--background models. Results of experiments show the effectiveness and robustness of the algorithm.