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| Content Provider | IET Digital Library |
|---|---|
| Author | Dai, Weicong Jin, Longxu Li, Guoning |
| Abstract | In recent years, kernelised correlation filter-based trackers have been employed to manage short-term tracking problems and help long-term trackers achieve excellent accuracy and robustness under challenging conditions, such as geometry/photometry changes, heavy occlusion, fast motion, motion blur, and out-of-camera view. Nonetheless, the inherent boundary effects and risky update strategy of correlation filters constrain the performance of short-term tracking, which limits the performance of long-term trackers. Moreover, the complicated redetection module leads to high-computational cost, which results in the long-term trackers to run at a low speed, thereby significantly restricting their applications. In the present work, the authors propose to employ complementary trackers in designing an efficient long-term tracker. Furthermore, a sigmoid penalty coefficient is proposed to update the tracking model with an adaptive learning rate that adjusts the learning rate while the target encounters appearance variation. Finally, they propose a novel redetection method that combines a redetection classifier with a short-term component to redetect the target while satisfying the explicit condition. The long-term tracker proposed in this study is proven to perform real-time speed of more than 65 frames per second and state-of-the-art accuracy by the experimental result on several challenging benchmarks. |
| Starting Page | 1569 |
| Ending Page | 1577 |
| Page Count | 9 |
| ISSN | 17519659 |
| Volume Number | 13 |
| e-ISSN | 17519667 |
| Issue Number | Issue 9, Jul (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/13/9 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6142 |
| Journal | IET Image Processing |
| Publisher Date | 2019-05-09 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Adaptive Filter Complementary Trackers Complicated Redetection Module Correlation Method Filtering Method in Signal Processing Inherent Boundary Effect Kernelised Correlation Filter-based Trackers Long-term Adaptive Tracking Redetection Classifier Short-term Component Short-term Tracking Problem Sigmoid Penalty Coefficient Signal Processing Theory Tracking Filter |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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