Video Segmentation Algorithm Research of Moving Objects Based on MOGs and Interframe Gradient Information
Lei Li · Journal of Qingdao University of Science and Technology · 2010
Moving segmentation of Video sequences is the foundation of motion analysis and motion tracking.In this paper,a novel segmentation algorithm is proposed which is based on mixture of Gaussians(MOGs) and interframe gradient information.Firstly,an adaptive MOGs is established using luminance information of each pixel,and then a rough foreground segmentation is obtained.Secondly,luminance and chroma of each pixel are varying in a big scale,which result in illuminance changing abruptly and cause mismatch between luminance and MOGs of a pixel.And then a vast of background pixels are regarded as foreground information mistakenly.To adapt illuminance variation suddenly,an improved method combining structure gradient cross-correlation function is adopted to correct the initial segmentation.Finally,morphological methods are used to remove shadows and isolated noise pixels.Extensive experiments are performed with various video sequences,which prove that this method is robust and of high segmentation accuracy.