Now showing items 1-4 of 4

    • Covariance matrix-based fire and flame detection method in video 

      Habiboğlu, Y. H.; Günay, O.; Çetin, A. E. (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 ...
    • 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 ...
    • Pose sentences: a new representation for action recognition using sequence of pose words 

      Hatun, Kardelen; Duygulu, Pınar (IEEE, 2008-12)
      We propose a method for recognizing human actions in videos. Inspired from the recent bag-of-words approaches, we represent actions as documents consisting of words, where a word refers to the pose in a frame. Histogram ...
    • 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 ...