Neil Gealy Outline What I Learned this Week Research Interests REU – Week 2 Neil Gealy Outline What I Learned this Week Research Interests

What I Learned this Week Machine Learning Generated features using Derivative of Gaussian filter From a set of training data, I found the optimal weights using logistic regression. Use a set of test data to plot an ROC curve.

What I Learned this Week

What I Learned this Week Original Image Output with a threshold of 70

What I Learned this Week K-means – partitioning into k clusters based on mean

Orlginal Image K-means (6 centers)

What I Learned this Week Lucas-Kanade –optical flow estimation based on differential

What I Learned this Week Using Code from Online Using My Code

What I Learned this Week Background Modeling Median with a 20% threshold Single Gaussian with 2 standard deviation threshold

Research Interests Tracking Automated surveillance in parking lot to determine abnormal behavior Walking – driving – walking identification Other Ideas Facebook Google Streetview