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Constructing Adaptive Correlation Filters Based on Dictionary Learning
Cui, Xiaoguang; Tian, Yuan
2013
会议名称The International Conference on Management Innovation and Information Technology
会议录名称WIT Transactions on Information and Communication Technologies, Volume 61
会议日期2013-12
会议地点Wu Han
摘要In this paper, we present a novel model for constructing adaptive correlation filters based on dictionary learning.  Rather than produce a single general filter for the entire testing set, we use recently developed dictionary learning techniques to generate a filter bank, by which we can construct an accurate adaptive correlation filter for each testing image via sparse coding. With the powerful representation of the learned filter bank, the greater accuracy with regard to varied appearance changes can be achieved. In addition, to meet the real-time requirement, a non-linear regress method that directly maps input images into corresponding filters is proposed as a substitute for the time-consuming sparse coding. Experiments were performed in optical satellite images to detect airplanes, and our model shows significant reduction in error rate compared to the classical Average of Synthetic Exact Filters (ASEF) and Minimum Output Sum of Squared Error (MOSSE) filters.
关键词Correlation Filters Dictionary Learning Sparse Coding Non-linear Regress Synthetic Exact Filters
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12415
专题空天信息研究中心
通讯作者Cui, Xiaoguang
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Cui, Xiaoguang,Tian, Yuan. Constructing Adaptive Correlation Filters Based on Dictionary Learning[C],2013.
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