The Key Technologies of Marine Multiobjective Ship Monitoring and Tracking Based on Computer Vision

Abstract

In recent years, one of the key research contents of computer vision is to realize the online monitoring and information tracking of unknown targets by sea ships. For multitarget ships at sea, the most important thing is the information tracking direction. It is very appropriate to apply this computer vision technology to ship monitoring at sea. This paper uses the ship target detection algorithm (STDA) to study the tracking and detection of sea multitarget ships based on computer vision to be applied in practice and improve the protection and safety of sea navigation. Based on the background of ocean intelligent monitoring, the image processing algorithm of key target detection and tracking in the ship detection and tracking system is studied, and the ocean monitoring video image is obtained by installing the detection and tracking effect of the shipborne camera verification system. The ship object detection algorithm (STDA) of the sea antenna is compared with the traditional target detection algorithm. Experimental results show that the proposed algorithm can effectively eliminate the noise interference caused by the waves and the sky, with strong accuracy and real-time performance. The research results of this paper can effectively compensate for the shortcomings of the traditional TLD multitarget ship tracking algorithm and make its speed and real-time performance greatly meet the requirements of ship monitoring. At the same time, it improves the marine monitoring capability to provide reliable technical support for the development of intelligent ships.