Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2017.

Bibliografiske detaljer
Hovedforfatter:	Khan, Rubayat Ahmed
Andre forfattere:	Uddin, Jia
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2022
Fag:	Fire detection Static and dynamic features Color segmentation Foreground extraction Neural networks (Computer science)
Online adgang:	http://hdl.handle.net/10361/16908

Lignende værker

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A novel modified SFTA approach for feature extraction
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Exploring deep features: deeper fully convolutional neural network for image segmentation
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Finding suitable feature extraction method for condition monitoring of electrical equipment
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Udgivet: (2023)

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af: Brac University
Udgivet: (2023)

Instruction to start the work of fire detection & fire protection at BRACU new campus project
af: Brac University
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Regarding fire incidents and further precaution
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Udgivet: (2023)

Mastering color digital photography /
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Udgivet: (2006)

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Investigation of In-vivoantidiarrhoeal and insecticidal activity of Trewianudijlora leaf extract
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Sound classification using deep learning for hard of hearing and deaf people
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Detection and prediction of epileptic seizure using different machine learning classifiers
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Full Foreground
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Request to release advance payment immediately upon fire protection coating
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Bangla text extraction by digital image processing
af: Hoque, A. K. M Rashedul, et al.
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Fire management system drawing ( Addressable fire alarm system drawings)
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