Enhanced Lowpass Filter Based Video Predictive Tracking for Target with High Mobility

摘要：

A lowpass filter is designed to perform the predictive tracking of highly mobile target. The proposed filter consists of linear term and inertial terms, with each respectively responsible for non-high mobility and high mobility. The target high-mobility is detected by measuring the velocity change and the inertial term is to be reconfigured to dominate the filtering process when the target moves in a highly mobile fashion. The tracking tests are conducted on the given set of video sequences and compared against the predictive tracking performed by Kalman filter, suggesting the much better tracking quality and feasibility of the proposed approach.

关键词： Video predictive tracking Lowpass filter Tracking quality Kalman filter High mobility

作者: Ken Chen Gangyi Jiang Celal Batur

作者单位: Electrical and Electronic Engineering Department, College of Information Science and Engineering, Ni Telecommunication Engineering Department, College of Information Science and Engineering, Ningbo Uni Mechanical Engineering Department, College of Engineering, The University of Akron, Ohio 44325 USA

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1254-1258

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）