End-to-end representation learning for Correlation Filter based tracking

End-to-end representation learning for Correlation Filter based tracking

The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector to be re-trained once per frame. Previous wor...

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Bibliographic Details
Main Authors:	Valmadre, J, Bertinetto, L, Henriques,, J, Vedaldi, A, Torr, P
Format:	Conference item
Published:	Institute of Electrical and Electronics Engineers 2017

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