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Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model

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posted on 2019-03-11, 12:44 authored by Zhenglin Li, Lyudmila MihaylovaLyudmila Mihaylova, Olga IsupovaOlga Isupova
Codes for the paper of 'Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model' published in IEEE Transactions on Industrial Informatics.

The codes train a flame colour model based on DPGMM and employ it together with optical flow, sainlency analysis to detect flames in videos.

Funding

China Scholarship Council

EUROPEAN COMMISSION - FP6/FP7 TRAX - 607400

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The data complies with the institution and funders' policies on access and sharing

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The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • There is a readme.txt file describing the methodology, headings and units

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Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model
Department of Automatic Control and Systems EngineeringDepartment of Automatic Control and Systems Engineering

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Keywords

Dirichlet process priorsGaussian Mixture Modelsfire detectionsControl Systems, Robotics and AutomationComputer Engineering

Licence

MIT

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