Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features
學年 107
學期 2
出版（發表）日期 2019-03-01
作品名稱 Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features
作品名稱（其他語言）
著者 C. S. Fahn; G. Ling; M. Y. Yeh; P. Y. Huang; M. L. Wu
單位
出版者
著錄名稱、卷期、頁數 International Journal of Future Computer and Communication 8(1), pp. 29-33
摘要 Maritime security has gained much attention these days because of the frequent interaction between countries with marine borders. Surveillance systems on land are installed on a fixed point, while there is no mounting point for marine surveillance. Fortunately, with the advancement of aerospace technology, the maritime monitoring is possible with continuous satellite image sequences. In this paper, we proposed a complete scheme for maritime surveillance using image sequences on embedded satellite systems, including maritime object detection, tracking, and abnormal activity classification. The recall rate for object detection is 78%. The recall rate for tracking is 91%. The recall rate for anomaly detection is 78%. The FPS is one frame per second on a low power-consuming device installable on a satellite system. The proposed scheme is helpful for the national defense and is labor saving for coast guard affairs.
關鍵字 Satellite image analysis;intelligent surveillance;ship detection;abnormal detection;trajectory analysis
語言 en_US
ISSN 2010-3751
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
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