An Effective Adaptive Updating Algorithm of Background Based on Statistical and Non-Linear Control

摘要：

The background differing has been taken as a very excellent method for dealing with the tracing targeUn the field of automated video surveillance application.This algorithm can detect the objective timely and accurately.At present more and more scholars take their attention in subtracting the background more faster and more precisely.In this paper,using the Kalman Filter and getting different parameters to control the background updating.To compare with the UKF model, this method can update faster and has ability to deal with the complicated environments.

关键词： Kalman Filter Background Differ Frame Differ Errors Analysis.

作者: Ye Qing Sun YaoDong

作者单位: College of Electrical and Information Engineering Changsha University of Science &Technology Changsha, China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 1633-1636

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）