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

2. 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.

3. What I Learned this Week

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

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

6. Orlginal Image
K-means (6 centers)

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

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

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

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