A Multi-camera Vessel Trajectory Tracking System

Abstract

The task of multi-camera vessel tracking has become a critical issue due to the development of intelligent transportation on water and the need for waterborne traffic supervision. This paper proposes a multi-camera vessel trajectory tracking (MCVTT) system dedicated to improving tracking accuracy. Meanwhile, considering that the Kalman filter has a good performance in the tracking field, an extended Kalman filter for complex vessel motion trajectories is set up as a part of this system to meet the needs of multi-camera vessel traffic scene characteristics. The simulation results show that the system can track the vessel trajectory effectively and achieve the purpose of the system to improve the tracking accuracy gradually.