基于视频监控下船舶运动的预估和监测研究

RESEARCH ON PREDICTION AND MONITORING OF SHIP MOTION BASED ON VIDEO MONITORING

视频监测作为桥梁健康监测的重要组成部分,在工程应用中越来越受到重视。研究提出了一种将卡尔曼滤波与迭代算法相结合的方法,利用监测得到的船舶运动空间数据,实现对船舶运动参数的预测和估计。利用基于光流的运动目标跟踪方法,得到了船舶的状态矢量,实际应用分析验证了该方法的准确性和可行性。结论表明,该方法能够准确预测和有效预估船舶的运动参数。

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.