Algorithm of Maneuvering Target Tracking for Video Based on UKF and IMM
For tracking and measuring maneuvering target for video image ,Extended Kalman fitter (EKF) based on local linearization of KF is easy to realize ,but only has performance in Gaussian and mild nonlinear environment. An algorithm based on Unscented Kalman Fitter (UKF) and Interaction Multiple Model (IMM) is proposed for maneuvering target tracking in complex nonlinearity environment or tracking small object in video image . The simulation results show that the tracking performance of- UKF and IMM is much better than EKF in complex nonlinearity environment, and the third order tracking precision can be achieved.
Extended Kalman Filter Unscented Kalman Filter Nonlinearity Prediction
Xu Ha Ning Xiao Hui
School of Nuclear Engineering and Technology East China Institute of Technology , Fuzhou,344000 ,China
国际会议
重庆
英文
518-521
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）