AdaMM: Adaptive Object Movement and Motion Tracking in Hierarchical Edge Computing System

This paper presents a novel adaptive object movement and motion tracking (AdaMM) framework in a hierarchical edge computing system for achieving GPU memory footprint reduction of deep learning (DL)-based video surveillance services. DL-based object movement and motion tracking requires a significant...

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Detalles Bibliográficos
Autores principales: Kim, Jingyeom, Lee, Joohyung, Kim, Taeyeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231845/
https://www.ncbi.nlm.nih.gov/pubmed/34198526
http://dx.doi.org/10.3390/s21124089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231845/
https://www.ncbi.nlm.nih.gov/pubmed/34198526
http://dx.doi.org/10.3390/s21124089

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