Week 2 REU Nolan Warner. Overview This weeks progress/projects Things learned Tentative research topics.

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Presentation transcript:

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 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

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