Detection and Tracking of Moving Target of Aquatic Vessels
CAI Dan
DUAN Xianhua
GAO Haizhuang
Abstract：Based on the Gaussian mixture model and aim at to solve the shortage of detection at present,this paper main idea is using improved gaussian mixture model to detectact target and then adopting the method of combining Kalman filter prediction and Camshift search algorithm.During tracing,first the movement of the target is predicted by using the Kalman filter,and based on this the position is searched by using the Camshift.At last,the results of the experiment apply in detection and tracking of aquatic vessels.Not only the adaptability of the model is improved,and moving target tracking speed and accuracy are improved further.
Keywords：Gaussian mixture modeKalman filter predictionCamshift
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1313-1317 )