Object contour tracking via adaptive data-driven kernel
Abstract We present a novel approach to non-rigid object tracking in this paper by deriving an adaptive data-driven kernel. In contrast with conventional kernel-based trackers which suffer from the constancy of kernel shape as well as scale and orientation selection problem when the tracking targets...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2020-02-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://link.springer.com/article/10.1186/s13634-020-0665-x |