week 2 reu nolan warner. overview this weeks progress/projects things learned tentative research...
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Week 2 REU
Nolan Warner
Overview
This weeks progress/projects Things learned Tentative research topics
Problem Set 3
Learning Edge Detector Method
Train detector with a set of known edges and nonedges.
Test with a set of test images and produce ROC curve to show false positives vs. false negatives
Problem Set 3 cont.
Expand algorithm to work on entire image.
Problem Set 4
4 Centers
With r and c 7 Centers
7 Centers
With no r and c
Problem Set 5
Optical Flow - Lucas Kanade without pyramids
Large error due to lack of accountability for large change.
Lucas Kanade with pyramids at 4 levels I believe the implementation of error correcting
is not implemented correctly. However, better results than without pyramids.
Results from provided code Best results. However, I believe better results could be
achieved.
Problem Set 5 cont. i
Problem Set 5 cont. ii
Problem Set 5 cont. iii
Problem Set 6
Background subtraction Method 1:
Find the median at each pixel and subtract the median from each image.
Threshold Method 2:
Find the mean and standard deviation at each pixel. Fit each pixel to the right normal distrobution and if
a pixel value is two standard deviations from the mean, then it is in the foreground.
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Problem Set 6
Tentative research topics
Crowd tracking Expanding the research done on tracking a single
object in a crowd. Currently, this research has only been done on
objects moving with the same flow as the crowd.
I would like to expand with concept to be able to track an object moving in a different direction than the rest of the crowd.
Any other useful implementations of tracking a single object in a crowd.
Tentative research topics cont. i
Markerless tracking Improve the algorithm for tracking at varying
velocity Improve tracking in the case were a blank
background (white wall) is present by utilizing all four cameras.
Depth from defocus
Tentative research topics cont. ii
Handwriting recognition in multiple languages Integrated with smart phone
User takes a picture of a sign The translation is returned in the users native
language. Application used for tourist traveling in foreign
countrys
Other similar applications
NEC Translator• Translates spoken Japanese to written English on
Japanese cell phone
Other translators• Only translate from text based input methods
The End