Data-Driven Logical Topology Inference for Managing Safety and Re-Identification of Patients Through Multi-Cameras IoT

Data-Driven Logical Topology Inference for Managing Safety and Re-Identification of Patients Through Multi-Cameras IoT

As Internet of Things (IoT) develops, IoT technologies are starting to integrate intelligent cameras for managing safety within mental health hospital wards and relevant spaces, seeking out specified individuals from these surveillance videos filmed by the various cameras. Because monitoring is one...

Full description

Bibliographic Details
Main Authors: Keyang Cheng, Muhammad Saddam Khokhar, Qing Liu, Rabia Tahir, Maozhen Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Canonical correlation analysis
time delayed mutual information (TDMI)
deep convolutional neural network (DCNN)
multi-camera topology inference
Online Access:https://ieeexplore.ieee.org/document/8890703/

Internet

https://ieeexplore.ieee.org/document/8890703/

Similar Items