Fire Detection and Recognition Optimization Based on Virtual Reality Video Image

Fire Detection and Recognition Optimization Based on Virtual Reality Video Image

Fire detection technology based on video images can avoid many flaws in conventional methods and detect fires. To achieve this, the support vector machine (SVM) method in machine learning theory has unique advantages, while rough set (RS) theory and SVM complement each other in application. Thus, a...

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Bibliographic Details
Main Authors: Xinchu Huang, Lin Du
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Feature extraction
fire detection
parameter optimization
rough set
support vector machine
Online Access:https://ieeexplore.ieee.org/document/9078090/

Internet

https://ieeexplore.ieee.org/document/9078090/

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