Background Extraction Based on Adaptive On-line Clustering

By analyzing the principles of various clustering methods and existing problems when current clustering methods are used in background extraction,this paper proposes a background extraction method based on adaptive on-line clustering.This method adopts adaptively dynamic thresholds to do on-line clustering on video to adaptively extract background images from a variety of videos without setting any parameters.Experimental results show that this method has a good adaptability,and is capable of extracting excellent background image,and has good robustness for various videos.