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Alternative TitleMulti-scale Kernel Correlation Filter Algorithm for Visual Tracking Based on Adaptive Features Fusion
陈法领1,2,3,4,5; 丁庆海1,6; 常铮1,2,4,5; 陈宏宇1,2,3,4,5; 罗海波1,2,4,5; 惠斌1,2,4,5; 刘云鹏1,2,4,5
Source Publication光学学报
Contribution Rank1
Funding Organization国家重点研发计划(No.2018YFC080192)
Keyword计算机视觉 目标跟踪 核相关滤波 自适应特征融合 多尺度估计
Other AbstractIn order to promote the robustness of visual tracking in complex scenes, and tackle the tracking failure problems caused by illumination variation, target deformation, scale variation, occlusion and so on, a multi-scale kernel correlation filter algorithm for visual tracking based on adaptive features fusion is proposed. In the first place, two kernel correlation filters are trained separately with two different features, then the peak side-lobe ratio of their responses and the consistence of correlation filter responses between two consequent frames are applied as weight factor for features fusion, meanwhile an adaptive strategy is adopted to fuse the two responses for position estimation. In the next place, based on the estimated position center, multi-scale image patches are sampled to construct a scale pyramid, and the Bayesian method is employed to estimate the optimal scale of target. Finally, the tracking model is updated according to the confidence of tracking result to prevent model deterioration. 51 sequences are selected for tracking evaluation, and these visual tracking algorithms with excellent performance in recent years are compared with our algorithm. The experimental results demonstrate that the proposed algorithm reduces the interferences such as illumination variation, target deformation, scale variation and occlusion effectively. The higher tracking accuracy and success rate are achieved in these sequences, and its overall performance outperforms these comparison algorithms.
Document Type期刊论文
Corresponding Author陈法领
Recommended Citation
GB/T 7714
陈法领,丁庆海,常铮,等. 自适应特征融合的多尺度核相关滤波目标跟踪[J]. 光学学报,2020:1-20.
APA 陈法领.,丁庆海.,常铮.,陈宏宇.,罗海波.,...&刘云鹏.(2020).自适应特征融合的多尺度核相关滤波目标跟踪.光学学报,1-20.
MLA 陈法领,et al."自适应特征融合的多尺度核相关滤波目标跟踪".光学学报 (2020):1-20.
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