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. See this link to a YouTube video for a demo of the application developed.
Transcript of Android based Object Detection and Classification
- 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)
