Now showing items 1-7 of 7

    • Contour based smoke detection in video using wavelets 

      Töreyin, B. Uğur; Dedeoğlu, Yiğithan; Çetin, A. Enis (IEEE, 2006-09)
      This paper proposes a novel method to detect smoke in video. It is assumed the camera monitoring the scene is stationary. The smoke is semi-transparent at the early stages of a fire. Therefore edges present in image frames ...
    • Dynamic texture detection, segmentation and analysis 

      Töreyin, Behçet Uğur; Dedeoğlu, Yiğithan; Çetin, A. Enis; Fazekas, S.; Chetverikov, D.; Amiaz, T.; Kiryati, N. (ACM, 2007-07)
      Dynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, clouds, trees in the wind, sky, sea and ocean waves etc. In this showcase, (i) we develop real-time dynamic texture ...
    • 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 ...
    • Moving object detection, tracking and classification for smart video surveillance 

      Dedeoğlu, Yiğithan (Bilkent University, 2004)
      Video surveillance has long been in use to monitor security sensitive areas such as banks, department stores, highways, crowded public places and borders. The advance in computing power, availability of large-capacity ...
    • Real-time smoke and flame detection in video 

      Töreyin, B. Uğur; Dedeoğlu, Yiğithan; Çetin, A. Enis (IEEE, 2005)
      A novel method to detect smoke and/or flame by processing the video data generated by an ordinary camera monitoring a scene is proposed. It is assumed the camera is stationary. Since the smoke is semi-transparent, edges ...
    • Ses ve video işaretlerinde saklı markof modeli tabanlı düşen kişi tespiti 

      Töreyin, B. Uğur; Dedeoğlu, Yiğithan; Çetin, A. Enis (IEEE, 2006-04)
      Automatic detection of a falling person in video is an important problem with applications in security and safety areas including supportive home environments and CCTV surveillance systems. Human motion in video is modeled ...
    • Surveillance using both video and audio 

      Dedeoğlu, Yiğithan; Töreyin, B. Uğur; Güdükbay, Uğur; Çetin, A. Enis (Springer, 2008)
      It is now possible to install cameras monitoring sensitive areas but it may not be possible to assign a security guard to each camera or a set of cameras. In addition, security guards may get tired and watch the monitor ...