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    题名: Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features
    作者: Fahn, C. S.;Ling, G.;Yeh, M. Y.;Huang, P. Y.;Wu, M. L.
    关键词: Satellite image analysis;intelligent surveillance;ship detection;abnormal detection;trajectory analysis
    日期: 2019-03
    上传时间: 2021-03-04 12:13:07 (UTC+8)
    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.
    關聯: International Journal of Future Computer and Communication 8(1), pp. 29-33
    DOI: 10.18178/ijfcc.2019.8.1.535
    显示于类别:[資訊工程學系暨研究所] 期刊論文

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