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| 基于相关滤波的长期跟踪算法 | |
| 引用本文： | 李娜,吴玲风,李大湘.基于相关滤波的长期跟踪算法[J].模式识别与人工智能,2018,31(10):899-908. |
| 作者姓名： | 李娜 吴玲风 李大湘 |
| 作者单位： | 1.西安邮电大学 图像与信息处理研究所 西安 710121 2.电子信息现场勘验应用技术公安部重点实验室 西安 710121 3.陕西省无线通信与信息处理技术国际合作研究中心 西 |
| 基金项目： | 陕西省国际合作交流项目(No.2017KW-013)、陕西省教育厅专项科研计划项目(No.17JK0692)、西安邮电大学研究生创新基金项目(No.CXJJ2017004)资助 |
| 摘 要： | 针对目标遮挡导致跟踪失败的问题,在核相关滤波器(KCF)的基础上,提出目标重检测的长期跟踪算法.将方向梯度直方图特征与亮度颜色空间(LAB)颜色信息融合,建立目标外观模型,并增加尺度估计对应目标尺度的改变.通过引入峰值比控制重检测模块的启动,提取Harris角点重新学习新的模型,对目标进行持续跟踪,并控制模型更新速率.在OTB数据集上的对比实验表明,文中算法跟踪精度较高,适用于遮挡情况下的目标长期跟踪. |
| 关 键 词： | 长期目标跟踪 相关滤波 重检测 Harris角点 尺度估计 |
| 收稿时间： | 2018-07-24 |
Long-Term Tracking Algorithm Based on Correlation Filter |
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| LI Na,WU Lingfeng,LI Daxiang.Long-Term Tracking Algorithm Based on Correlation Filter[J].Pattern Recognition and Artificial Intelligence,2018,31(10):899-908. | |
| Authors: | LI Na WU Lingfeng LI Daxiang |
| Affiliation: | 1.Center for Image and Information Processing, Xi′an University of Posts and Telecommunications, Xi′an 710121 2.Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi′an 710121 3.International Joint Research Center for Wireless Communication and Information Processing, Xi′an 710121 |
| Abstract: | Based on the kernelized correlation filter(KCF) algorithm, a long-term tracking algorithm combining target re-detection is proposed. Firstly, the histogram of oriented gradient features and LAB color information are fused, the appearance model is established and scale estimation is added to cope with the changes of object scale. Then, the peak ratio is introduced to control the start of re-detection module and a correlation filter model is re-learned by extracting Harris corners. Finally, the occluded object is continuously tracked with the proposed model updating strategy. Comparison experiments on OTB datasets show that the proposed algorithm produces higher tracking accuracy and is suitable for long-term tracking with occlusion. |
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