The Moving Detection Algorithm based on Clustering Technology
Moving detection algorithms are very popular and widely applied. However, the algorithms may have lower accuracy or higher time complexity. To improve that, a moving detection algorithm based on clustering technology is proposed in the paper. It divides an image differences into some clusters. A minimum spanning tree is generated based on those clusters. Compare the average shortest path of minimum spanning tree and a threshold to detect the differences. The algorithm inherits the high accuracy of clustering technology and shows high detection performance.
Moving Detection minimum spanning tree Clustering average shortest path
Tao Hu Li Zhu
School of Information Engineering Hubei University for Nationalities Enshi, Hubei, P.R. China
国际会议
成都
英文
183-186
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）