Background Reconstruction Based on the Mean Shift Clustering Algorithm
Pengfei Shi · Science Technology and Engineering · 2013
To overcome disadvantages of traditional background reconstruction algorithms,such complex computation and distortional background,a background reconstruction algorithm was proposed based on pixel sequence mean shift clustering.first of all by the judgment of the rate of change a part of the pixels are omitted which the motion object dose not exist,than the most of the pixels are calculed iteratively by typical sample point the mean shift algorithm,finally background point value are obtained from clustering results.The simulation results indicate the fast and efficient performance background reconstruction in complex moving target video sequence.