1. REU Report Meetings – Week 7
Silvino Barreiros

2. New This Week LibSVM code completed Key frame extraction Bootstrapping
Code Modified
Continued Testing

3. Bootstrapping Train on the hardest images
Test images with high PFA moved to train set
Images in training replaced
Keeps the training set from growing to large

4. Bootstrapping Initial parameters New parameters
100 positive 50 negative 50 non
Five images with PFA > .5 removed
Five new images added to negative training set
Ten iterations
New parameters
200 positive 100 negative 100 non
Five images removed with highest PFA
Five random images from current training set replaced
Five iterations

5. Initial Results Features Tested Results Reasons
Airplane_flying, Bus, Dog, Doorway and Person-eating
Results
Each iteration produces varying results
Reasons
Not enough positive images used
Images moved from the training set are better then ones moved in

6. Results Feature/ Run Bus Dog Doorway 1 2 3 4 5 Average Person_eating
Airplane_flying
Bus
Dog
Doorway
Person_eating 1
PD – 70%
PFA – 10%
PD – 60%
PFA – 30%
PFA – 70%
PD – 80%
PFA – 40%
PD – 50% 2
PFA – 11.24%
PFA – 32.24%
PD – 75%
PFA – 25%
PD – 30% 3
PD – 65%
PFA – 12%
PFA – 12.25%
PFA – 60% 4
PFA – 23%
PFA – 14.29% 5
PFA – 15%
Average
PD – 59%
PFA – 11.45%
PD – 66%
PFA – %
PFA – 64%
PD – 79%
PFA – 27.2%
PFA – 24.86%

7. Goals For Next Week Finish testing on a wider selection of features
Using all positive images
Duplication to grow positive training set