A robust RGBT tracking framework with temporal information enhancement and backward trajectory verification
Abstract RGBT (visible-thermal) object tracking holds significant value in complex scenarios such as low-light and hazy environments, enabling robust all-weather tracking by leveraging the complementary strengths of visible and thermal infrared modalities. However, challenges such as target appearan...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00144-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|