KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Adaptive Scale Correlation Tracking based on SVM | |
Yuan, Kang; Wei, Da-peng
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| 2017 | |
| 摘要 | Although the correlation filter-based trackers achieve the competitive results both on accuracy and robustness, there is still a need to improve the overall tracking capability. Focusing on the issue that the correlation filter-based trackers algorithm has poor performance in handling scale-variant target and Occlusion, this paper presents a multi-scale correlation filter algorithm combined with SVM detector to solve the above problems. Firstly, by introducing the scale factor into the kernel matrix to improve the performance of correlation filter processing scale transform. Then we trained an online SVM detector to retrieve the target when the target is occluded, and adaptively adjust the learning rate of the model. By comparing with the other six outstanding tracking algorithm, experimental results show that the proposed approach could estimate the object state accurately and handle the object occlusion problem effectively. |
| 语种 | 英语 |
| 会议(录)名称 | PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017)
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| 页码 | 756-761 |
| 通讯作者 | Yuan, K (reprint author), Chongqing Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing 400065, Peoples R China. |
| 收录类别 | ISTP |
| 会议地点 | Taiyuan, PEOPLES R CHINA |
| 会议日期 | JUN 24-25, 2017 |
