RESEARCH ON PREDICTION AND MONITORING OF SHIP MOTION BASED ON VIDEO MONITORING
Video monitoring,as an important component of bridge health monitoring,is increasingly being valued in engineering applications.A study has proposed a method that combines Kalman filtering with iterative algorithms to predict and estimate ship motion parameters using monitored ship motion spatial data.By using the optical flow based motion target tracking method,the state vector of the ship was obtained,and the accuracy and feasibility of this method were verified through practical application analysis.The conclusion indicates that this method can accurately predict and effectively estimate the motion parameters of ships.
video monitoringmotion parametersKalman filteringiteration algorithmmoving object tracking
NETL
NSTL
万方数据
