Background Modeling Approach Based on Fusion of Color and Edge Information
Guilin Zhang · Jisuanji gongcheng · 2008
This paper proposes a background model based on fusion of color and edge information.Color information is exploited to perform pixel-level background and foreground classification,and a novel edge based background subtraction method is applied to separate the foreground/background edges.The foreground-pixels are clustered to form hypnosis moving targets,which are further classified into true moving targets and false moving targets by incorporation of edge information.The method effectively removes the false moving target caused by sudden illumination change and the relocation of background objects.