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Target tracking using high-dimension data clustering
Alternative Title采用高维数据聚类的目标跟踪
Shao CY(邵春艳); Ding QH(丁庆海); Luo HB(罗海波); Li YL(李玉莲)
Department光电信息技术研究室
Source Publication红外与激光工程
ISSN1007-2276
2016
Volume45Issue:4Pages:258-267
Indexed ByEI ; CSCD
EI Accession number20162302456307
CSCD IDCSCD:5697014
Contribution Rank1
KeywordHigh Dimension Data Clustering Affine Deformed Object Target Tracking Rigid Body
AbstractInspired by the fact that a rigid body has consistent transformation for its individual part, a novel target tracking algorithm based on high-dimension data clustering is proposed. The proposed measure is proved to be available in object tracking mathematically. Thus, it is called the High- Dimension Data Clustering (HDDC) tracker. The frameworks of proposed method are as follows. First, Harris detector is utilized to extract the corners both in the template and the tracking region. Second, these feature points are grouped via their position information separately. Third, affine matrixes between the template and the tracking region are calculated among their respective feature groups. At last, high-dimension data clustering is carried out to measure these matrixes, and the feature points corresponding with the similar matrixes that are tracked targets. Extensive experimental results demonstrate that HDDC is efficient on measuring affine deformed objects and outperforms some state-of-the-art discriminative tracking methods. 
Language英语
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/18675
Collection光电信息技术研究室
Corresponding AuthorShao CY(邵春艳)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Key Laboratory of Opt-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
4.Space Star Technology Co., Ltd, Beijing, 100086, China
5.The Key Lab of Image Understanding and Computer Vision, Shenyang, Liaoning Province, 110016, China
6.Shenyang Metrology Testing Institution, Shenyang 110016, China
Recommended Citation
GB/T 7714
Shao CY,Ding QH,Luo HB,et al. Target tracking using high-dimension data clustering[J]. 红外与激光工程,2016,45(4):258-267.
APA Shao CY,Ding QH,Luo HB,&Li YL.(2016).Target tracking using high-dimension data clustering.红外与激光工程,45(4),258-267.
MLA Shao CY,et al."Target tracking using high-dimension data clustering".红外与激光工程 45.4(2016):258-267.
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