Robust visual tracking and vehicle classification via sparse representation
In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, noise, and other challenging issues are addressed seamlessly through a set of trivial templates. Specifically, to find the tra...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 33(2011), 11 vom: 15. Nov., Seite 2259-72 |
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| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2011
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |