SARIVA: Smartphone App for Real-time Intelligent Video Analytics

Christopher Clarke, Plamen Angelov, Pouria Sadeghi Tehran, Majid Yusuf

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the design, implementation and evaluation of a new smartphone application that is capable of real-time object detection using both stationary and moving cameras for embedded systems, particularly, the Android smartphone plaƞorm. A new object detection approach, Optical ORB, is presented which is capable of real-time performance at high definition resolutions on a smartphone. In addition, the developed smartphone application has the ability to connect to a remote server and wirelessly send image frames when moving objects appear in the camera’s field of view; thus, allowing the human operator to only view video frames that are of interest. Evaluation experiments show a capability of achieving real-time performance for high definition (HD) resolution video.
Original languageEnglish
Pages (from-to)15-19
Number of pages5
JournalJournal of Automation, Mobile Robotics and Intelligent Systems
Volume8
Issue number4
DOIs
Publication statusPublished - 31 Dec 2014

Keywords

  • autonomous objects detection
  • smartphone
  • mobile application
  • video analytics

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