Automatic Recognition of Human Interaction via Hybrid Descriptors and Maximum Entropy Markov Model Using Depth Sensors

Automatic identification of human interaction is a challenging task especially in dynamic environments with cluttered backgrounds from video sequences. Advancements in computer vision sensor technologies provide powerful effects in human interaction recognition (HIR) during routine daily life. In th...

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Detalles Bibliográficos
Autores principales: Jalal, Ahmad, Khalid, Nida, Kim, Kibum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517385/
https://www.ncbi.nlm.nih.gov/pubmed/33286588
http://dx.doi.org/10.3390/e22080817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517385/
https://www.ncbi.nlm.nih.gov/pubmed/33286588
http://dx.doi.org/10.3390/e22080817

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