The Target Tracking Method Based on Camshift Algorithm Combined with SIFT

被引:4
|
作者
Zhang, Jieyu [1 ]
Wu, Haiyong [2 ]
Chen, Shu [1 ]
Xia, Deshen [3 ]
机构
[1] China Pharmaceut Univ, Dept Basic Sci, Nanjing 211198, Peoples R China
[2] Nanjing Xiaozhuang Univ, Dept PhyS & Elect Engineer, Nanjing 211171, Jiangsu, Peoples R China
[3] Nanjing Univ Sci & Technol, Dept Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China
关键词
Camshift; SIFT feature points; object tracking;
D O I
10.4028/www.scientific.net/AMR.186.281
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Since Camshift algorithm leads to failed tracking results when the color information of the target region is similar with the background or is not precise enough, to solve this problem a tracking method based on Camshift and SIFT was proposed in this paper. In this method, SIFT feature points, which were used to construct the color histogram and the color probability distribution, were extracted from the target region first. Then SIFT points were also extracted from the search region and these two sets of SIFT points were matched. Since the proposed method used the matched SIFT points to properly guide the location of targets, experimental results show that with the new method some more accurate and robust tracking results have been obtained.
引用
收藏
页码:281 / +
页数:2
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