Now showing items 1-11 of 11

    • 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 ...
    • Dynamic texture analysis in video with application to flame, smoke and volatile organic compound vapor detection 

      Günay, Osman (Bilkent University, 2009)
      Dynamic textures are moving image sequences that exhibit stationary characteristics in time such as fire, smoke, volatile organic compound (VOC) plumes, waves, etc. Most surveillance applications already have motion ...
    • Entropi fonsiyonuna dayalı uyarlanır karar tümleştirme yapısı 

      Günay, Osman; Töreyin, B. U.; Köse, Kıvanç; Çetin, A. Enis (2012-04)
      Bu bildiride, resim analizi ve bilgisayarla görü uygulamalarında kullanılmak üzere entropi fonksiyonuna dayanan uyarlanır karar tümleştirme yapısı geliştirilmiştir. Bu yapıda bileşik algoritma, herbiri güven derecesini ...
    • 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 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 ...
    • A multi-sensor network for the protection of cultural heritage 

      Grammalidis, N.; Çetin, A. Enis; Dimitropoulos, K.; Tsalakanidou F.; Köse, Kıvanç; Günay, Osman; Gouverneur, B.; Torri, D.; Kuruoglu, E.; Tozzi, S.; Benazza, A.; Chaabane F.; Kosucu, B.; Ersoy, C. (IEEE, 2011)
      The paper presents a novel automatic early warning system to remotely monitor areas of archaeological and cultural interest from the risk of fire. Since these areas have been treasured and tended for very long periods of ...
    • Projections onto convex sets (POCS) based optimization by lifting 

      Çetin, A. Enis; Bozkurt, Alican; Günay, Osman; Habiboglu, Yusuf Hakan; Köse, K.; Onaran, İbrahim; Tofighi, Mohammad; Sevimli, Rasim Akın (IEEE, 2013)
      A new optimization technique based on the projections onto convex space (POCS) framework for solving convex and some non-convex optimization problems are presented. The dimension of the minimization problem is lifted by ...
    • Real-time wildfire detection using correlation descriptors 

      Habiboğlu, Y. Hakan; Günay, Osman; Çetin, A. Enis (IEEE, 2011)
      A video based wildfire detection system that based on spatio-temporal correlation descriptors is developed. During the initial stages of wildfires smoke plume becomes visible before the flames. The proposed method uses ...
    • Sparsity Based Image Retrieval using relevance feedback 

      Günay, Osman; Çetin, A. Enis (IEEE, 2012)
      In this paper, a Content Based Image Retrieval (CBIR) algorithm employing relevance feedback is developed. After each round of user feedback Biased Discriminant Analysis (BDA) is utilized to find a transformation that best ...
    • Video based fire detection at night 

      Taşdemir, Kasım; Günay, Osman; Töreyin, Behçet Uğur; Çetin, A. Enis (IEEE, 2009)
      There has been increasing interest in the study of video based fire detection as video based surveillance systems become widely available for indoor and outdoor monitoring applications. Video based fire detection methods ...
    • Video processing algorithms for wildfire surveillance 

      Günay, Osman (Bilkent University, 2015-05)
      We propose various image and video processing algorithms for wild re surveillance. The proposed methods include; classi er fusion, online learning, real-time feature extraction, image registration and optimization. We ...