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rafellerc / Pytorch-SiamFC

Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"
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After we got the score map, how can we get the bounding rect box of the object? #6

Open perrywu1989 opened 5 years ago

perrywu1989 commented 5 years ago

After we got the score map, how can we get the bounding rect box of the object?

And we only have a video and one reference box in the first frame, can we keep tracking this object? I think the problem is how we can get the reference box of next frame correctly.

rafellerc commented 5 years ago

Actually the visualization tool is not running the tracker itself. The tracker is a meta algorithm on top of the network, that uses the previous estimated position and passes multiple scales of the image to get a robust estimation of the target. The application just focuses on the network itself, as a similarity metric. The purpose is to have a peek into the "Black box" that is the network, in order to explore its behavior and limitations.

rafellerc commented 5 years ago

It wouldn't be that hard to implement the option of running the full tracker though. I don't have that much time right now to work on that, but if anyone wants to work on that, please let me know.