Android based Object Detection and Classification
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Modeling a Child's Learning of What's Hot and Cold. Iowa State University – CPRE585x Spring 2011.

Modeling a Child's Learning of What's Hot and Cold. Iowa State University – CPRE585x Spring 2011.
See this link to a YouTube video for a demo of the application developed.

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Android based Object Detection and Classification Presentation Transcript

  • 1. Android based Object Detection and Classification: Modeling a Child's Learning of What's Hot and Cold Matthew L Weber Iowa State University – CPRE585x Spring 2011
  • 2. Overview: Goals
    • - Repeats existing research related to the use of Self-Organizing Maps (SOM) for object recognition
    • 3. - Introduces a new resource constrained platform for the experiment
  • 4. Overview: Experiment
    • Hardware
      • - Android Phone
      • 5. - Arduino with Ethernet sheild & Sensors
    • Software
      • - Android port of OpenCV
      • 6. - JAVA based Self-Organizing Map (SOM)
  • 7. Overview: Algorithms
    • - OpenCV PC test app (C/C++)
      • - Histogram and Pixel Average (Texture)
    • - SOM PC test app (JAVA)
  • 8. Overview: User Interface
  • 9. Results: PC Test Case
    • - Testing number of SOM learning iterations
      • 5 iterations 100 iterations
    (Shown are 100 images in a 10x10 SOM lattice)
  • 10. Results: Android Test Case
    • - Testing learning new objects
    (Shown are 100 images in a 10x10 SOM lattice)
  • 11. Results: Android Test Case
    • - Testing learning progression
  • 12. Future Research
    • - SOM scalability and storage limitations
    • 13. - GPU acceleration of matrix math in SOM
    • 14. - SOM learning bias
    • 15. - (Specific to this project) Code optimizations for floating point
  • 16. Resources
    • - Website
    • 17. http://code.google.com/p/mlw-proj/wiki/CPRE585x
      • - Links to research papers and source code
    • - Demo Video
    • 18. http://www.youtube.com/watch?v=Iv1sRhjQmR0
    • 19. - Questions/Comments
      • Email (mlweber at iastate.edu)