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使用稠密SIFT特征表达目标的跟踪方法
引用本文:李培华,赵楠楠,于海洋.使用稠密SIFT特征表达目标的跟踪方法[J].黑龙江大学自然科学学报,2011,28(4):571-576.
作者姓名:李培华  赵楠楠  于海洋
作者单位:黑龙江大学计算机科学与技术学院,哈尔滨,150080
基金项目:Supported by the National Natural Science Foundation of China(60973080,60673110); the Program for NewCentury Excellent Talents in University from Chinese Ministry of Education(NCET-10-0151); the Key Project by Chinese Ministry of Education(210063); the Program for NewCentury Excellent Talents of Heilongjiang Province(1153-NCET-002); the High-level professionals(innovative teams)of Heilongjiang University(Hdtd2010-07)
摘    要:提出了一种使用稠密SIFT特征进行目标跟踪的算法.该算法首先将表达目标的矩形区域分成相同大小的矩形块,计算每一个小块的SIFT特征,再对各个小块的稠密SIFT特征在中心位置进行采样,建模目标的表达.然后度量两个图像区域的不相似性,先计算两个区域对应小块的Bhattacharyya距离,再对各距离加权求和作为两个区域间的...

关 键 词:目标跟踪  SIFT特征  Bhattacharyya距离

Appearance modeling using dense SIFT features for object tracking
LI Pei-hua,ZHAO Nan-nan,YU Hai-yang.Appearance modeling using dense SIFT features for object tracking[J].Journal of Natural Science of Heilongjiang University,2011,28(4):571-576.
Authors:LI Pei-hua  ZHAO Nan-nan  YU Hai-yang
Institution:LI Pei-hua,ZHAO Nan-nan,YU Hai-yang(School of Computer Science and Technology,Heilongjiang University,Harbin 150080,China)
Abstract:An object tracking method using dense SIFT features is introduced.It is described the object by a rectangle region that is divided into small uniform image patches.For every patch we compute the SIFT feature for characterizing its local characteristics.The object appearance can thus be modeled by dense SIFT features uniformly-sampled on the patch centers.By using the Bhattacharyya distance to measure the dissimilarity between two corresponding patches,we define the distance between two image regions as the ...
Keywords:object tracking  SIFT  bhattacharyya distance  
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