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Week 7: Deep Tracking Students: Si Chen & Meera Hahn Mentor: Afshin Deghan.

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Presentation on theme: "Week 7: Deep Tracking Students: Si Chen & Meera Hahn Mentor: Afshin Deghan."— Presentation transcript:

1 Week 7: Deep Tracking Students: Si Chen & Meera Hahn Mentor: Afshin Deghan

2 F Score Comparisons Video Names Autoencoder + SVM Fully Connected Network Offline CAFFE Deep Tracker STRUCK Bike 46.0976.5296.5289.47 David 79.1398.26 84.52 Deer 98.599.8685.9297.14 Ironman 18.269.573.483.61 Shaking 70.4375.6576.5237.53 Skiing 49.3846.9149.386.17 Subway 92.1726.0981.7478.86 Tiger 48.7018.2684.3580.23 Average 62.8445.14 72.02 59.69

3 Offline Caffe Deep Tracking Ran offline code on all 50 sequences Fixed code: Problem with LibSVM Processing greyscale images Next steps: calculate fscores

4 CAFFE Trained models into tracker Changed python paths How well does the tracker preform in comparison to using pre-trained weights?

5 Next steps Fine tuning Caffe Learning additional attributes of videos: Motion: provide temporal data to the network so it can learn the motion Scale change

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