Visual Tracking Based on an Improved Online Multiple Instance Learning Algorithm

An improved online multiple instance learning (IMIL) for a visual tracking algorithm is proposed. In the IMIL algorithm, the importance of each instance contributing to a bag probability is with respect to their probabilities. A selection strategy based on an inner product is presented to choose wea...

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Detalles Bibliográficos
Autores principales: Wang, Li Jia, Zhang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710940/
https://www.ncbi.nlm.nih.gov/pubmed/26843855
http://dx.doi.org/10.1155/2016/3472184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710940/
https://www.ncbi.nlm.nih.gov/pubmed/26843855
http://dx.doi.org/10.1155/2016/3472184

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