Deep Attention Models for Human Tracking Using RGBD

Visual tracking performance has long been limited by the lack of better appearance models. These models fail either where they tend to change rapidly, like in motion-based tracking, or where accurate information of the object may not be available, like in color camouflage (where background and foreg...

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Detalles Bibliográficos
Autores principales: Rasoulidanesh, Maryamsadat, Yadav, Srishti, Herath, Sachini, Vaghei, Yasaman, Payandeh, Shahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412970/
https://www.ncbi.nlm.nih.gov/pubmed/30781737
http://dx.doi.org/10.3390/s19040750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412970/
https://www.ncbi.nlm.nih.gov/pubmed/30781737
http://dx.doi.org/10.3390/s19040750

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