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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Bibliographic Details
Main Authors: Jingyeom Kim, Joohyung Lee, Taeyeon Kim
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/12/4089