文献类型：会议论文

英文题名：Tracking of rapid motions using particle filtering based on grid resampling

作者：Fu, Jibin[1]; Bai, Xin[1]; Zhou, Yanan[1]

第一作者：傅继彬

通讯作者：Fu, J.

机构：[1] School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

会议论文集：Proceedings - 6th International Conference on Internet Computing for Science and Engineering, ICICSE 2012

会议日期：April 21, 2012 - April 23, 2012

会议地点：Zhengzhou, Henan, China

语种：英文

外文关键词：Monte Carlo methods - Object tracking

摘要：These complex real environmental videos usually contain rapid motions. The popular traditional particle filtering algorithms are unable to tackle this issue. In order to address it, we propose a novel tracking algorithm for rapid motions using particle filtering based on grid resampling, the resampling can break smoothness constraints of motion model, can robustly capture the effect of abnormal motion. A series of experimental results show the good performance of the proposed method. ? 2012 IEEE.