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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhang, Wei Kang, Baosheng |
| Abstract | This study presents a robust object tracking method based on occlusion detection via correlation filters. In the proposed method, multi-feature kernelised correlation filter is employed to estimate the preliminary location of the tracked target. To predict target occlusion state, the intrinsic relationship between the most reliable tracked target and its context information is exploited via correlation filters, together with a response stability constraint to make the detection more reliable. A long-term filter is activated to recover the target if the occlusion occurs. Furthermore, the model is updated adaptively based on the changes of occlusion state and target appearance to make the tracking process robust. Extensive experimental results demonstrate that the proposed tracking method with occlusion detection performs favourably against 15 state-of-the-art trackers over 100 challenge sequences on the object tracking benchmark OTB-2015. |
| Starting Page | 375 |
| Ending Page | 384 |
| Page Count | 10 |
| Volume Number | 2018 |
| e-ISSN | 20513305 |
| Issue Number | Issue 7, Jul (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2018/7 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2017.0795 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2018-05-02 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Computer Vision And Image Processing Technique Correlation Method Image Filtering Multifeature Kernelised Correlation Filter Object Tracking Optical, Image And Video Signal Processing Reliability Robust Object Tracking Benchmark OTB-2015 Target Occlusion Detection Target Tracking |
| Content Type | Text |
| Resource Type | Article |
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