Learning an Orientation and Scale Adaptive Tracker With Regularized Correlation Filters
Spatial and temporal constraints are very important for correlation filter (CF)-based trackers. However, the existing methods usually fail to regularize the CF learning by the spatio-temporal information because of the ineffective target representation. To address the issue, we propose a novel Orien...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8695007/ |