Now showing items 1-16 of 16

    • Computer vision based forest fire detection 

      Töreyin, B. Uğur; Çetin, A. Enis (IEEE, 2008)
      Lookout posts are commonly installed in the forests all around Turkey and the world. Most of these posts have electricity. Surveillance cameras can be placed on to these surveillance towers to detect possible forest fires. ...
    • 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 ...
    • 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 ...
    • Flexible test-bed for unusual behavior detection 

      Petrás I.; Beleznai, C.; Dedeolğu, Yiğithan; Pards, M.; Kovács L.; Szlávik, Z.; Havasi L.; Szirányi, T.; Töreyin, B. Uğur; Güdükbay, Uğur; Çetin, A.hmet Enis; Canton-Ferrer, C. (ACM, 2007-07)
      Visual surveillance and activity analysis is an active research field of computer vision. As a result, there are several different algorithms produced for this purpose. To obtain more robust systems it is desirable to ...
    • İnsan hareketlerinin PIR-sensör tabanlı bir sistemle sınıflandırılması 

      Urfalıoğlu, Onay; Soyer, Emin B.; Töreyin, B. Uğur; Çetin, A. Enis (IEEE, 2008-04)
      Bu bildiride, tek bir pasif kızılberisi sensörü (PIR) kullanarak beş farklı insan hareketi ve bir hareketsiz arkaplan gürültüsünden oluşan toplam 6 çeşit olay için bir sınıflandırma yöntemi önerilmiştir. Otomatik olay ...
    • Linear and nonlinear temporal prediction employing lifting structures for scalable video coding 

      Töreyin, B. Uğur; Trocan, M.; Pesquet-Popescu, B.; Çetin, A. Enis (IEEE, 2006-09)
      Scalable 3D video codecs based on wavelet lifting structures have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs. In this work, we propose a ...
    • LMS based adaptive prediction for scalable video coding 

      Töreyin, B. Uğur; Trocan, M.; Pesquet-Popescu, B.; Çetin, A. Enis (IEEE, 2006-05)
      3D video codecs have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs and due to their scalability features. In this work, we propose a least ...
    • Moving region detection in wavelet compressed video 

      Töreyin, B. Uğur; Çetin, A. Enis; Aksay, Anıl; Akhan, M. B. (IEEE, 2004)
      In many vision based surveillance systems the video is stored in wavelet compressed form. In this study, an algorithm for moving object and region detection in video that is compressed using a wavelet transform (WT) is ...
    • 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 ...
    • Shadow detection using 2D cepstrum 

      Töreyin, B. Uğur; Çetin, A. Enis (SPIE, 2009-04)
      Shadows constitute a problem in many moving object detection and tracking algorithms in video. Usually, moving shadow regions lead to larger regions for detected objects. Shadow pixels have almost the same chromaticity as ...
    • 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 ...
    • Volatile organic compound plume detection using wavelet analysis of video 

      Töreyin, B. Uğur; Çetin, A. Enis (IEEE, 2008-10)
      A video based method to detect volatile organic compounds (VOC) leaking out of process equipments used in petrochemical refineries is developed. Leaking VOC plume from a damaged component causes edges present in image ...
    • Wavelet based detection of moving tree branches and leaves in video 

      Töreyin, B. Uğur; Çetin, A. Enis (IEEE, 2006-05)
      A method for detection of tree branches and leaves in video is proposed. It is observed that the motion vectors of tree branches and leaves exhibit random motion. On the other hand regular motion of green colored objects ...
    • Wavelet based real-time smoke detection in video 

      Töreyin, B. Uğur; Dedeoǧlu, Yiğithan; Çetin, A. Enis (IEEE, 2005-09)
      A method for smoke detection in video is proposed. It is assumed the camera monitoring the scene is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a ...
    • Wildfire detection using LMS based active learning 

      Töreyin, B. Uğur; Çetin, A. Enis (IEEE, 2009-04)
      A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gray regions, (iii) rising regions, and (iv) ...