{"title":"Deep Nets Spotlight Illegal, Unreported, Unregulated (IUU) Fishing","authors":"Darrell L. Young","doi":"10.1109/AIPR47015.2019.9174577","DOIUrl":null,"url":null,"abstract":"The need for increased global surveillance and enforcement efforts to combat Illegal, Unreported, Unregulated (IUU) fishing is well known. This paper describes the current research status in developing a novel technique of associating Automated Identification System (AIS) anti-collision messages to satellite vessel detects. Each detected ship image has a wealth of information which allows development of dark ship tracking and identification. A dark ship is a ship that is not broadcasting AIS. Ships involved in illegal activities often disable their AIS transmitter to avoid detection by authorities. Dark ship tracking and identification uses a deep similarity metrics to compare current and previous observations. If any of the previous observations have an identity, e.g. a known vessel on the international IUU watch-list, then the probability of its involvement in illegal activity is increased. Additional indicators of IUU activity such as frequent flag changes are combined in a probabilistic evaluation of accumulated evidence using local laws, rules, and regulations to render IUU assessments using commercially available imagery and data sources.","PeriodicalId":167075,"journal":{"name":"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR47015.2019.9174577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The need for increased global surveillance and enforcement efforts to combat Illegal, Unreported, Unregulated (IUU) fishing is well known. This paper describes the current research status in developing a novel technique of associating Automated Identification System (AIS) anti-collision messages to satellite vessel detects. Each detected ship image has a wealth of information which allows development of dark ship tracking and identification. A dark ship is a ship that is not broadcasting AIS. Ships involved in illegal activities often disable their AIS transmitter to avoid detection by authorities. Dark ship tracking and identification uses a deep similarity metrics to compare current and previous observations. If any of the previous observations have an identity, e.g. a known vessel on the international IUU watch-list, then the probability of its involvement in illegal activity is increased. Additional indicators of IUU activity such as frequent flag changes are combined in a probabilistic evaluation of accumulated evidence using local laws, rules, and regulations to render IUU assessments using commercially available imagery and data sources.