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Ashiquzzaman et al., 2020 - Google Patents

Context-aware deep convolutional neural network application for fire and smoke detection in virtual environment for surveillance video analysis

Ashiquzzaman et al., 2020

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Document ID
13012246559348179779
Author
Ashiquzzaman A
Min Oh S
Lee D
Lee J
Kim J
Publication year
Publication venue
Smart Trends in Computing and Communications: Proceedings of SmartCom 2020

External Links

Snippet

Detecting fire and smoke in video footage is crucial that is surveillance analysis. In a disastrous situation or after the accident occurred, it is vital to pinpoint the origin and gathers proper context. However, processing the data this kind of video is often labor-intensive and …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
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