Ship abnormal behavior alarm system based on image processing and AIS data
The increase in the number of ships affects the safety of ship navigation to a large extent,and ships need to judge the abnormal behavior of other ships and give early warning.Relying solely on AIS data to judge abnormal behaviors of ships has problems such as low data accuracy and information lag.This paper proposes to combine image processing tech-nology and AIS data to comprehensively judge abnormal behaviors of ships,and uses YOLO V3 to process acquired monit-oring images to effectively identify ship targets.DBSCAN algorithm is used to perform cluster simulation on the ship track,and then the abnormal behavior of the ship is judged.Finally,the obtained image target recognition,track clustering results and abnormal behavior rule base are compared to realize the detection and alarm of abnormal behavior of ships.
AIS dataimage processingYOLO V3abnormal behavioralarm system
万方数据
维普
