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Content Provider | IET Digital Library |
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Author | Zengshuo, Zhang Linbo, Tang Yuqi, Han Jinghong, Nan Baojun, Zhao |
Abstract | In long-term tracking applications, occlusion and scale variation are common attributes which cause performance degradation. Existing solutions use heavy calculation to deal with these problems, without considering the real-time implementation. Therefore, the authors propose a novel long-term tracker with fast scale estimation and efficient re-detection scheme to maintain real-time speed and favourable accuracy. Specifically, the authors integrate a distance metric method into correlation filter-based tracker to realise fast translation calculation and scale estimation. In addition, the authors advocate a keypoint-matching based confidence indicator to verify the tracking result and activate the re-detection module when the occlusion happens. The authors test our approach on challenging sequences with scale variation and occlusion. Experiments demonstrate that our proposed tracker procures preferable effect than state-of-the-art methods in the aspect of both speed and accuracy. |
Starting Page | 6573 |
Ending Page | 6576 |
Page Count | 4 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 20, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0236 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-07-10 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Computer Vision And Image Processing Technique Correlation Filter-based Tracker Distance Metric Method Efficient Re-detection Scheme Fast Scale Estimation Fast Translation Calculation Image Matching Image Recognition Image Sequence Keypoint-matching Based Confidence Indicator Long-term Tracker Long-term Tracking Application Object Detection Object Tracking Performance Degradation Re-detection Module Real-time Speed Scale Variation |
Content Type | Text |
Resource Type | Article |
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