Now showing items 1-7 of 7

    • 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 ...
    • Falling person detection using multi-sensor signal processing 

      Töreyin, Behçet Uğur; Soyer, Emin Birey; Onaran, İbrahim; Çetin, A. Enis (IEEE, 2007)
      Falls are one of the most important problems for frail and elderly people living independently. Early detection of falls is vital to provide a safe and active lifestyle for elderly. In this paper, signals produced by sound ...
    • Fire detection algorithms using multimodal signal and image analysis 

      Töreyin, Behçet Uğur (Bilkent University, 2009)
      Dynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, clouds, volatile organic compound (VOC) plumes in infra-red (IR) videos, trees in the wind, sea and ocean waves, ...
    • HMM based method for dynamic texture detection 

      Töreyin, Behçet Uğur; Çetin, A. Enis (IEEE, 2007)
      A method for detection of dynamic textures in video is proposed. It is observed that the motion vectors of most of the dynamic textures (e.g. sea waves, swaying tree leaves and branches in the wind, etc.) exhibit random ...
    • Moving object detection and tracking in wavelet compressed video 

      Töreyin, Behçet Uğur (Bilkent University, 2003)
      In many surveillance systems the video is stored in wavelet compressed form. An algorithm for moving object and region detection in video that is compressed using a wavelet transform (WT) is developed. The algorithm estimates ...
    • Online detection of fire in video 

      Töreyin, Behçet Uğur; Çetin, A. Enis (IEEE, 2007)
      This paper describes an online learning based method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. Our fire detection method consists of weak classifiers based on ...
    • 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 ...