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...
| Main Authors: | , , , , |
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2017
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