Segmentation of Moving Targets and Shadows Elimination Based on Complex Background
Yong Ye · Dianzi qijian · 2011
Aiming some existing limits in foreground objects segmentation such as incomplete segmentation of moving targets,moving shadow and ghosts,a novel segmentation method and shadows elimination from a complex background is proposed.Firstly,a Gaussian mixture model(GMM)is adopted to construct background model and extract some foregrounds.Background subtraction is performed between the current frame and the previous constructed background model.According to some characteristics of multi-scale wavelet transform in spatial and temporal fields,multi-scale analysis is combined with image segmentation to suppress shadows and eliminate ghost from the foreground in the video.Experimental results show that the proposal can effectively segment the moving targets from video with a complex background and eliminate shadows and ghosts by comparisons.