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Transferring Rich Feature Hierarchies for Robust Visual Tracking

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Presentation on theme: "Transferring Rich Feature Hierarchies for Robust Visual Tracking"— Presentation transcript:

1 Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang

2 P 1 art Background

3 Deep Learning D G ata PU

4 Deep Learning Finetune

5 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!

6 P 2 art Methods

7 Why Objectness? Failures of Tracking…

8 Why Structure Output? 1 2 Fit the nature of object tracking problem
Speed up the online tracking 2

9 Imagenet Detection Dataset, 480K bounding boxes
Objectness Pretrain Imagenet Detection Dataset, 480K bounding boxes

10 Objectness Pretrain

11 Online Tracking

12 P 3 art Results

13 Results

14 Results

15 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.

16 Thank You


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