• DocumentCode
    2789353
  • Title

    Validation of Object Recognition Framework on Android Mobile Platform

  • Author

    Tyagi, Vivek ; Pandya, A.S. ; Agarwal, Ankur ; Alhalabi, Bassem

  • Author_Institution
    Dept. of Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    2011
  • fDate
    10-12 Nov. 2011
  • Firstpage
    313
  • Lastpage
    316
  • Abstract
    In recent years there has been great interest in implementing object recognition frame work on mobile phones. This has stemmed from the fact the advances in object recognition algorithm and mobile phone capabilities have built a congenial ecosystem. Application developers on mobile platforms are trying to utilize the object recognition technology to build better human computer interfaces. This approach is in the nascent phase and proper application framework is required. In this paper, we propose a framework to overcome design challenges and provide an evaluation methodology to assess the system performance. We use the emerging Android mobile platform to implement and test the framework. We performed a case study using the proposal and reported the test result.
  • Keywords
    mobile computing; mobile handsets; object recognition; Android mobile platform; congenial ecosystem; evaluation methodology; human computer interfaces; mobile phone capabilities; object recognition algorithm; Databases; Mobile communication; Mobile handsets; Object recognition; Robustness; Servers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High-Assurance Systems Engineering (HASE), 2011 IEEE 13th International Symposium on
  • Conference_Location
    Boca Raton, FL
  • ISSN
    1530-2059
  • Print_ISBN
    978-1-4673-0107-7
  • Type

    conf

  • DOI
    10.1109/HASE.2011.62
  • Filename
    6113913