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      • Theses - Department of Electrical and Electronics Engineering
      • Dept. of Electrical and Electronics Engineering - Master's degree
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      •   BUIR Home
      • University Library
      • Bilkent Theses
      • Theses - Department of Electrical and Electronics Engineering
      • Dept. of Electrical and Electronics Engineering - Master's degree
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      Fire and flame detection methods in images and videos

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      Author
      Habiboğlu, Yusuf Hakan
      Advisor
      Çetin, A. Enis
      Date
      2010
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      In this thesis, automatic fire detection methods are studied in color domain, spatial domain and temporal domain. We first investigated fire and flame colors of pixels. Chromatic Model, Fisher’s linear discriminant, Gaussian mixture color model and artificial neural networks are implemented and tested for flame color modeling. For images a system that extracts patches and classifies them using textural features is proposed. Performance of this system is given according to different thresholds and different features. A real-time detection system that uses information in color, spatial and temporal domains is proposed for videos. This system, which is develop by modifying previously implemented systems, divides video into spatiotemporal blocks and uses features extracted from these blocks to detect fire.
      Keywords
      Fisher’s linear discriminant
      Gabor filters
      codifference descriptors
      covariance descriptors
      artificial neural networks
      Permalink
      http://hdl.handle.net/11693/15131
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      • Dept. of Electrical and Electronics Engineering - Master's degree 567

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