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