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Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang
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P 1 art Background
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Deep Learning D G ata PU
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Deep Learning Finetune
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Questions Q: Can we transfer pretrained CNN to tracking? A: Yes!
Q: Can we account for the features for tracking? A: Structure output and objectness CNN!
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P 2 art Methods
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Why Objectness? Failures of Tracking…
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Why Structure Output? 1 2 Fit the nature of object tracking problem
Speed up the online tracking 2
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Imagenet Detection Dataset, 480K bounding boxes
Objectness Pretrain Imagenet Detection Dataset, 480K bounding boxes
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Objectness Pretrain
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Online Tracking
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P 3 art Results
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Results
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Results
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Future Work Q: Can the results be further improved?
A: Yes! Improve the case of distractor. Q: Can the speed be further improved? A: Yes! Refer to the success of correlation filter.
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Thank You
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