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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...
Autores principales: | Kim, Jingyeom, Lee, Joohyung, Kim, Taeyeon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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