Now showing items 1-9 of 9

    • Compressive sensing based flame detection in infrared videos 

      Günay, Osman; Çetin, A. Enis (IEEE, 2013)
      In this paper, a Compressive Sensing based feature extraction algorithm is proposed for flame detection using infrared cameras. First, bright and moving regions in videos are detected. Then the videos are divided into ...
    • Covariance matrix-based fire and flame detection method in video 

      Habiboğlu, Y. H.; Günay, O.; Çetin, A. Enis (Springer, 2011-09-17)
      This paper proposes a video-based fire detection system which uses color, spatial and temporal information. The system divides the video into spatio-temporal blocks and uses covariance-based features extracted from these ...
    • Diferansiyel PIR algılayıcılarla dalgacık tabanlı alev tespiti 

      Erden, F.; Töreyin, B. U.; Soyer, E. B.; İnaç, İ.; Günay, O.; Köse, K.; Çetin, A. Enis (IEEE, 2012-04)
      Bu makalede, diferansiyel kızılberisi algılayıcı (PIR) kullanılarak geliştirilen bir alev tespit sistemi önerilmektedir. Diferansiyel kızılberisi algılayıcılar, yalnızca görüş alanlarındaki ani sıcaklık değişikliklerine ...
    • Flame detection for video-based early fire warning for the protection of cultural heritage 

      Dimitropoulos, K.; Günay, Osman; Köse, Kıvanç; Erden, Fatih; Chaabene, F.; Tsalakanidou, F.; Grammalidis, N.; Çetin, Enis (2012-10-11)
      Cultural heritage and archaeological sites are exposed to the risk of fire and early warning is the only way to avoid losses and damages. The use of terrestrial systems, typically based on video cameras, is currently the ...
    • Flame detection in video using hidden Markov models 

      Töreyin, B. Uğur; Dedeoğlu, Yiğithan; Çetin, A. Enis (IEEE, 2005)
      This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame flicker process is also detected ...
    • Flame detection method in video using covariance descriptors 

      Habiboǧlu, Y.H.; Günay, Osman; Çetin, A. Enis (IEEE, 2011)
      Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covariance features extracted from these blocks ...
    • Flame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanism 

      Ug̃ur Töreyin, B.; Soyer, E. Birey; Urfaliog̃lu, Onay; Çetin, A. Enis (IEEE, 2008-08)
      In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an ...
    • A multi-modal video analysis approach for car park fire detection 

      Verstockt, S.; Hoecke, S. V.; Beji, T.; Merci, B.; Gouverneur, B.; Çetin, A. Enis; Potter, P. D.; Walle, R. V. D. (Elsevier, 2013)
      In this paper a novel multi-modal flame and smoke detector is proposed for the detection of fire in large open spaces such as car parks. The flame detector is based on the visual and amplitude image of a time-of-flight ...
    • Wavelet based flickering flame detector using differential PIR sensors 

      Erden, F.; Toreyin, B. U.; Soyer, E. B.; Inac, I.; Gunay, O.; Kose, K.; Çetin, A. Enis (Elsevier, 2012-07-06)
      A Pyro-electric Infrared (PIR) sensor based flame detection system is proposed using a Markovian decision algorithm. A differential PIR sensor is only sensitive to sudden temperature variations within its viewing range ...