期刊
MULTIMEDIA TOOLS AND APPLICATIONS
卷 78, 期 22, 页码 31633-31648出版社
SPRINGER
DOI: 10.1007/s11042-019-07851-3
关键词
Correlation filter based tracking; Global filter; Local filter; Gaussian curvature; Peak-to-sidelobe ratio
类别
资金
- National Natural Science Foundation of China [61305016]
- Fundamental Research Funds for the Central Universities [JUSRP1059]
In this paper, we propose a hybrid correlation filter based tracking method which depends on coupled interactions between a global filter and two local filters. Specifically, a local kernel feature with Gaussian curvature is developed to encode object appearance. Then the global filter and the two local filters independently track the target. The peak-to-sidelobe ratio (PSR) is employed to measure the reliability of the tracking results. Next, the global filter and the two local filters jointly determine the target position. In this way, the proposed hybrid model deals well with challenging situations, e.g., partial occlusion and scale changes. Experiments on large benchmark datasets show that our method performs favorably against state-of-the-art trackers.
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