计算机工程与应用2016，Vol.52Issue(20)：177-181,192,6.DOI:10.3778/j.issn.1002-8331.1412-0335
基于循环核矩阵的自适应目标跟踪算法
Adaptive target tracking algorithm based on circulant kernel matrices
摘要
Abstract
Classification based target tracking algorithm has the difficulty of processing size change situation of the target adaptively, aiming at solving this problem, an adaptive target tracking algorithm based on circulant kernel matrices is pro-posed. The algorithm collects all the training samples in the region of interest to construct a circulant matrices structure, and uses the Gaussian circulant kernel matrice to construct a closed-form solution of the classifier and for training and detection. At the same time, it establishes a connection between the well-established theory of circulant matrices and Fourier analysis to realize the fast learning and detection with fast Fourier transform. On this basis, the algorithm achieves the goal of adaptive to the size change of the target. Experimental results show that the algorithm expresses the target size change more accurately and effectively in some situations, when compared with some classic and new adaptive target tracking algorithms.关键词
分类器/循环矩阵/傅里叶变换/高斯核函数/循环核矩阵Key words
classifier/circulant matrices/Fourier transform/Gaussian kernel function/circulant kernel matrices分类
信息技术与安全科学引用本文复制引用
徐少飞,刘政怡,桂斌..基于循环核矩阵的自适应目标跟踪算法[J].计算机工程与应用,2016,52(20):177-181,192,6.基金项目
安徽省科技攻关计划科技强警专项资金项目（No.1301b042020）；高等学校博士学科点专项科研基金联合资助课题（No.201133401110009）；安徽大学青年骨干教师培养对象经费资助。 （）
