REU Report Meetings – Week 7 Silvino Barreiros

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

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

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

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

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 – 20.148% PFA – 64% PD – 79% PFA – 27.2% PFA – 24.86%

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