Video Trajectory Predictive Tracking Using Control-based Full State Observer and Filter Design
Video target tracking is being a hot research subject applied in solving a wide range of real world electronic monitoring problems. In this work, a predictive tracking approach is presented by adopting control-based full state observer (FSO) tactics. To remedy the tracking precision inadequacy compromised by using only a FSO, a lowpass filter is designed to correct the tracking trajectory as the case may be. The major merit of the proposed approach lies with avoidance of hypothesis for the stochastic noise uncertainties existing in process’ dynamics, as otherwise required with Kalman filtering solution. The presented approach is engineered based on an articulate real-world video sequence set, and later tested on four additional real-world video sequence sets. The results suggest that the tracking quality utilizing the proposed approach is not inferior to that using Kalman filter method, and may thus be rendered as an alternative video target tracking technique.
Video target tracking Full state observer Kalman filter Tracking precision
Ken Chen Gangyi Jiang Larry E. Banta Yun Zhang
College of Information Science and Engineering, Ningbo University, Zhejiang 315211, China College of Engineering, West Virginia University, WV 26506 USA
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3691-3698
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）