Real-Time Tracking Framework with Adaptive Features and Constrained Labels

This paper proposes a novel tracking framework with adaptive features and constrained labels (AFCL) to handle illumination variation, occlusion and appearance changes caused by the variation of positions. The novel ensemble classifier, including the Forward–Backward error and the location constraint...

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Detalles Bibliográficos
Autores principales: Li, Daqun, Xu, Tingfa, Chen, Shuoyang, Zhang, Jizhou, Jiang, Shenwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038727/
https://www.ncbi.nlm.nih.gov/pubmed/27618052
http://dx.doi.org/10.3390/s16091449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038727/
https://www.ncbi.nlm.nih.gov/pubmed/27618052
http://dx.doi.org/10.3390/s16091449

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