Correlation filter-based visual tracking with multi-featured adaptive online learning
While discriminative correlation filter (DCF) has attracted much attention due to its excellent computational efficiency and robustness, factors like occlusion, motion blur, deformation and background interference cause tracking failure. To address these issues, this work proposes improved backgroun...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
Association for Computing Machinery
2022
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/46775/1/Correlation%20filter-based%20visual%20tracking%20with%20multi-featured.pdf https://umpir.ump.edu.my/id/eprint/46775/ https://doi.org/10.1145/3512353.3512362 |
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