Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211502(2019)

Video Smoke Detection Based on Gaussian Mixture Model and Convolutional Neural Network

Peng Li1、* and Yan Zhang2
Author Affiliations
  • 1College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning 116026, China
  • 2College of Marine Electrical Engineering, Dalian Maritime University, Dalian, Liaoning 116026, China
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    References(24)

    [1] Millan-Garcia L, Sanchez-Perez G, Nakano M et al. An early fire detection algorithm using IP cameras[J]. Sensors, 12, 5670-5686(2012).

    [4] Dimitropoulos K, Barmpoutis P, Grammalidis N. Higher order linear dynamical systems for smoke detection in video surveillance applications[J]. IEEE Transactions on Circuits and Systems for Video Technology, 27, 1143-1154(2017).

    [10] Appana D K, Islam R, Khan S A et al[J]. spatial-temporal energy analyses for alarm systems. Information Sciences, 418/419, 91-101(2017).

    [20] Stauffer C. Grimson W E L. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 747-757(2000).

    [23] Abadi M, Agarwal A, Barham P et al. -03-16)[2018-03-01]. https:∥arxiv., org/abs/1603, 04467(2016).

    [27] Standardization administration. General administration of quality supervision, inspection, quarantine of the people's republic of China,(2008).

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    Peng Li, Yan Zhang. Video Smoke Detection Based on Gaussian Mixture Model and Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211502

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    Paper Information

    Category: Machine Vision

    Received: Apr. 11, 2019

    Accepted: Apr. 26, 2019

    Published Online: Nov. 2, 2019

    The Author Email: Li Peng (lp20131012@dlmu.edu.cn)

    DOI:10.3788/LOP56.211502

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