Consistently Sampled Correlation Filters with Space Anisotropic Regularization for Visual Tracking

Most existing correlation filter-based tracking algorithms, which use fixed patches and cyclic shifts as training and detection measures, assume that the training samples are reliable and ignore the inconsistencies between training samples and detection samples. We propose to construct and study a c...

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Detalles Bibliográficos
Autores principales: Shi, Guokai, Xu, Tingfa, Guo, Jie, Luo, Jiqiang, Li, Yuankun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750837/
https://www.ncbi.nlm.nih.gov/pubmed/29231876
http://dx.doi.org/10.3390/s17122889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750837/
https://www.ncbi.nlm.nih.gov/pubmed/29231876
http://dx.doi.org/10.3390/s17122889

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