量子电子学报2017，Vol.34Issue(2)：154-161,8.DOI:10.3969/j.issn.1007-5461.2017.02.004
各向异性核函数均值漂移目标跟踪算法研究
Mean shift target tracking algorithm based on anisotropic kernel function
摘要
Abstract
Aiming at the problem of target tracking lost or failure when the traditional mean shift algorithm uses fixed kernels or symmetric kernel function to track targets,an adaptive bandwidth mean shift target tracking algorithm based on anisotropic kernel function is proposed to improve the accuracy and real-time of target tracking.The signed distance constraint function is introduced based on the signed distance kernel function,and anisotropic kernel function is constituted,which meets that the function value is zero in external area of target,and provides accurate tracking window for target tracking.According to the fact that the mean shift based on anisotropic kernel function must meet the weights sum of the sample points to center point vectors in the tracking window is zero when applying to target tracking,the mean shift window centers of anisotropic kernel function templates are calculated.Restrictions on the target template change before and after are carried out by using similarity threshold,and the adaptive updating of the anisotropic kernel function template and accurate real-time tracking of the target are realized.Experimental results show that the proposed algorithm has higher accuracy and better real-time performance.关键词
图像处理/各向异性核函数/水平集/均值漂移/目标跟踪/自适应带宽Key words
image processing/anisotropic kernel function/level set/mean shift/target tracking/adaptive bandwidth分类
信息技术与安全科学引用本文复制引用
韩明,唐心亮,吴朔媚,王敬涛..各向异性核函数均值漂移目标跟踪算法研究[J].量子电子学报,2017,34(2):154-161,8.基金项目
Supported by Science and Technology Planning Projects of Hebei Province(河北省科技计划项目,15220327,16222101D) （河北省科技计划项目,15220327,16222101D）
