English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64191/96979 (66%)
Visitors : 8424270      Online Users : 7672
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/120006


    Title: Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features
    Authors: Fahn, C. S.;Ling, G.;Yeh, M. Y.;Huang, P. Y.;Wu, M. L.
    Keywords: Satellite image analysis;intelligent surveillance;ship detection;abnormal detection;trajectory analysis
    Date: 2019-03
    Issue Date: 2021-03-04 12:13:07 (UTC+8)
    Abstract: 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.
    Relation: International Journal of Future Computer and Communication 8(1), pp. 29-33
    DOI: 10.18178/ijfcc.2019.8.1.535
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML105View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback