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  • 标题:SARIVA: Smartphone APP for Real-time Intelligent Video Analytics
  • 本地全文:下载
  • 作者:Christopher Clarke ; Plamen Angelov
  • 期刊名称:Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
  • 印刷版ISSN:1897-8649
  • 电子版ISSN:2080-2145
  • 出版年度:2014
  • 卷号:8
  • 期号:4
  • 页码:15
  • DOI:10.14313/JAMRIS_4-2014/32
  • 出版社:Industrial Research Inst. for Automation and Measurements, Warsaw
  • 摘要:This paper presents the design, implementaƟon andevaluaƟon of a new smartphone applicaƟon that is capableof real-Ɵme object detecƟon using both staƟonaryand moving cameras for embedded systems, parƟcularly,the Android smartphone plaƞorm. A new object detec-Ɵon approach, OpƟcal ORB, is presented which is capableof real-Ɵme performance at high definiƟon resolu-Ɵons on a smartphone. In addiƟon, the developed smartphoneapplicaƟon has the ability to connect to a remoteserver and wirelessly send image frames when movingobjects appear in the camera’s field of view; thus, allowingthe human operator to only view video frames thatare of interest. EvaluaƟon experiments show a capabilityof achieving real-Ɵme performance for high definiƟon(HD) resoluƟon video.
  • 关键词:autonomous objects detecƟon; smartphone;mobile applicaƟon; video analyƟcs
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