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Journals
Cybernetics and Information Technologies
Volume 16 (2016): Issue 2 (June 2016)
Open Access
Object Tracking Based on Online Semi-Supervised SVM and Adaptive-Fused Feature
Ruxi Xiang
Ruxi Xiang
,
Xifang Zhu
Xifang Zhu
,
Feng Wu
Feng Wu
,
Qinquan Xu
Qinquan Xu
and
Jianwei Li
Jianwei Li
| Jun 22, 2016
Cybernetics and Information Technologies
Volume 16 (2016): Issue 2 (June 2016)
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Published Online:
Jun 22, 2016
Page range:
198 - 211
DOI:
https://doi.org/10.1515/cait-2016-0030
Keywords
Visual tracking
,
SSSM
,
feature fusion
,
incremental PCA,online
© by Xifang Zhu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Ruxi Xiang
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Xifang Zhu
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Feng Wu
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Qinquan Xu
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Jianwei Li
Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education, Chongqing University, Chongqing, 400044 China