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Alternative TitleForeground-aware based Spatio-temporal Correlation Filters for Visual Tracking
虞跃洋1,2,3,4,5; 史泽林1,2,3,4,5; 刘云鹏2,3,4,5
Source Publication激光与光电子学进展
Contribution Rank1
Funding Organization国家自然科学基金 ; 教育部新世纪优秀人才支持计划 ; 浙江大学引进人才科研启动项目
Keyword机器视觉 目标跟踪 相关滤波 时间一致性 重检测
Other AbstractAiming at the problems of object tracking failure caused by background clutter, occlusion and out-of-view in long-term tracking, we propose a spatio-temporal regularized correlation filter with foreground aware algorithm for visual tracking based on the spatially regularized discriminative correlation filter (SRDCF). First, this work propose a foreground-aware function which can model how both the foreground and background of the object varies over time. Then, we regard it as a time consistency constraint, with which the new tracker enables joint spatio-temporal filter learning in a lower dimensional discriminative manifold. At the same time, it can be efficiently solved via the alternating direction method of multipliers (ADMM) to ensure real-time. Finally, the object re-detection threshold is determined. When the occlusion or out-of-view causes the failure, the region proposal can be extracted and the object position is re-detected by correlation filter. The experiments of hand-crafted features and deep features were completed on OTB2013 respectively. Compared with SRDCF, the average success rate is increased by 5.6% and 7% respectively. In addition, the proposed approach is robust for background blur, rotation, occlusion and out of view.
Document Type期刊论文
Corresponding Author虞跃洋
Recommended Citation
GB/T 7714
虞跃洋,史泽林,刘云鹏. 基于前景感知的时空相关滤波跟踪算法[J]. 激光与光电子学进展,2019:1-20.
APA 虞跃洋,史泽林,&刘云鹏.(2019).基于前景感知的时空相关滤波跟踪算法.激光与光电子学进展,1-20.
MLA 虞跃洋,et al."基于前景感知的时空相关滤波跟踪算法".激光与光电子学进展 (2019):1-20.
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