Object Tracking Using Local Multiple Features and a Posterior Probability Measure

Object tracking has remained a challenging problem in recent years. Most of the trackers can not work well, especially when dealing with problems such as similarly colored backgrounds, object occlusions, low illumination, or sudden illumination changes in real scenes. A centroid iteration algorithm...

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Detalles Bibliográficos
Autores principales: Guo, Wenhua, Feng, Zuren, Ren, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421699/
https://www.ncbi.nlm.nih.gov/pubmed/28362345
http://dx.doi.org/10.3390/s17040739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421699/
https://www.ncbi.nlm.nih.gov/pubmed/28362345
http://dx.doi.org/10.3390/s17040739

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