Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification
Based on sparse representation, a robust global and local classification algorithm for visual target tracking in uncertain environment was proposed in this paper. The global region of target and the position of target would be found, respectively by the proposed algorithm. Besides, overcompleted dic...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/323072 |
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| _version_ | 1849693719177986048 |
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| author | Yang Yang Ming Li Fuzhong Nian Huiya Zhao Yongfeng He |
| author_facet | Yang Yang Ming Li Fuzhong Nian Huiya Zhao Yongfeng He |
| author_sort | Yang Yang |
| collection | DOAJ |
| description | Based on sparse representation, a robust global and local classification algorithm for visual target tracking in uncertain environment was proposed in this paper. The global region of target and the position of target would be found, respectively by the proposed algorithm. Besides, overcompleted dictionary was obtained and updated by biased discriminate analysis with the divergence of positive and negative samples at current frame. And this over-completed dictionary not only discriminates the positive samples accurately but also rejects the negative samples effectively. Experiments on challenging sequences with evaluation of the state-of-the-art methods show that the proposed algorithm has better robustness to illumination changes, perspective changes, and targets rotation itself. |
| format | Article |
| id | doaj-art-565eead5baa14dd78e231c6dac2f3cc2 |
| institution | DOAJ |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-565eead5baa14dd78e231c6dac2f3cc22025-08-20T03:20:19ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/323072323072Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local ClassificationYang Yang0Ming Li1Fuzhong Nian2Huiya Zhao3Yongfeng He4School of Computer and Communication, Lanzhou University of Technology, Lan Zhou 730050, ChinaSchool of Computer and Communication, Lanzhou University of Technology, Lan Zhou 730050, ChinaSchool of Computer and Communication, Lanzhou University of Technology, Lan Zhou 730050, ChinaSchool of Computer and Communication, Lanzhou University of Technology, Lan Zhou 730050, ChinaSchool of Computer and Communication, Lanzhou University of Technology, Lan Zhou 730050, ChinaBased on sparse representation, a robust global and local classification algorithm for visual target tracking in uncertain environment was proposed in this paper. The global region of target and the position of target would be found, respectively by the proposed algorithm. Besides, overcompleted dictionary was obtained and updated by biased discriminate analysis with the divergence of positive and negative samples at current frame. And this over-completed dictionary not only discriminates the positive samples accurately but also rejects the negative samples effectively. Experiments on challenging sequences with evaluation of the state-of-the-art methods show that the proposed algorithm has better robustness to illumination changes, perspective changes, and targets rotation itself.http://dx.doi.org/10.1155/2013/323072 |
| spellingShingle | Yang Yang Ming Li Fuzhong Nian Huiya Zhao Yongfeng He Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification Abstract and Applied Analysis |
| title | Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification |
| title_full | Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification |
| title_fullStr | Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification |
| title_full_unstemmed | Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification |
| title_short | Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification |
| title_sort | vision target tracker based on incremental dictionary learning and global and local classification |
| url | http://dx.doi.org/10.1155/2013/323072 |
| work_keys_str_mv | AT yangyang visiontargettrackerbasedonincrementaldictionarylearningandglobalandlocalclassification AT mingli visiontargettrackerbasedonincrementaldictionarylearningandglobalandlocalclassification AT fuzhongnian visiontargettrackerbasedonincrementaldictionarylearningandglobalandlocalclassification AT huiyazhao visiontargettrackerbasedonincrementaldictionarylearningandglobalandlocalclassification AT yongfenghe visiontargettrackerbasedonincrementaldictionarylearningandglobalandlocalclassification |