Sequential Monte Carlo-guided ensemble tracking

A great deal of robustness is allowed when visual tracking is considered as a classification problem. This paper combines a finite number of weak classifiers in a SMC framework as a strong classifier. The time-varying ensemble parameters (confidence of weak classifiers) are regarded as sequential ar...

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Detalles Bibliográficos
Autores principales: Wang, Yuru, Liu, Qiaoyuan, Jiang, Longkui, Yin, Minghao, Wang, Shengsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388463/
https://www.ncbi.nlm.nih.gov/pubmed/28399149
http://dx.doi.org/10.1371/journal.pone.0173297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388463/
https://www.ncbi.nlm.nih.gov/pubmed/28399149
http://dx.doi.org/10.1371/journal.pone.0173297

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