Dynamic Siamese Network With Adaptive Kalman Filter for Object Tracking in Complex Scenes
Due to the deficiency of prior information for online updating process, the tracking accuracy of fully-convolutional Siamese network (SiamFC) in complex scenes such as similar object interference, fast moving, and appearance change is not good. To solve the problem, a new object tracker based on a d...
| Published in: | IEEE Access |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9290126/ |
