Now showing items 1-20 of 23

    • Algebraic error analysis of collinear feature points for camera parameter estimation 

      Urfalioglu, O.; Thormählen, T.; Broszio, H.; Mikulastik, P.; Çetin, A. Enis (Elsevier, 2011-01-04)
      In general, feature points and camera parameters can only be estimated with limited accuracy due to noisy images. In case of collinear feature points, it is possible to benefit from this geometrical regularity by correcting ...
    • Attention-aware disparity control in interactive environments 

      Celikcan, U.; Cimen, G.; Kevinc, E. B.; Capin, T. (Springer, 2013)
      Our paper introduces a novel approach for controlling stereo camera parameters in interactive 3D environments in a way that specifically addresses the interplay of binocular depth perception and saliency of scene contents. ...
    • Autofocus method in thermal cameras based on image histogram 

      Turgay, E.; Teke, Oğuzhan (IEEE, 2011)
      In this paper, a new histogram based auto-focusing method for thermal cameras is proposed. This proposed method is realized by FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processor) working together and ...
    • Automatic detection of salient objects and spatial relations in videos for a video database system 

      Sevilmiş, T.; Baştan M.; Güdükbay, Uğur; Ulusoy, Özgür (Elsevier BV, 2008-10)
      Multimedia databases have gained popularity due to rapidly growing quantities of multimedia data and the need to perform efficient indexing, retrieval and analysis of this data. One downside of multimedia databases is the ...
    • Background subtraction with a moving camera 

      Topçu O.; Kalem, Aslıhan; Esen, E. (IEEE, 2013)
      Moving object segmentation with a nonstationary camera is a difficult problem due to the motion of both camera and the object. A moving object segmentation method is proposed in this work to be used in pan-tilt-zoom (PTZ) ...
    • Camera tamper detection using wavelet analysis for video surveillance 

      Aksay, A.; Temizel, A.; Çetin, A. Enis (IEEE, 2007-09)
      It is generally accepted that video surveillance system operators lose their concentration after a short period of time and may miss important events taking place. In addition, many surveillance systems are frequently left ...
    • Computer vision based method for real-time fire and flame detection 

      Töreyin, B. U.; Dedeoǧlu, Y.; Güdükbay, Uğur; Çetin, A. Enis (Elsevier BV, 2006-01-01)
      This paper proposes a novel method to detect fire and/or flames in real-time by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire ...
    • Computer vision based unistroke keyboard system and mouse for the handicapped 

      Erdem, M .Erkut; Erdem, İ. Aykut; Atalay, Volkan; Çetin, A. Enis (IEEE, 2003-07)
      In this paper, a unistroke keyboard based on computer vision is described for the handicapped. The keyboard can be made of paper or fabric containing an image of a keyboard, which has an upside down U-shape. It can even ...
    • 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 ...
    • iki diferansiyel PIR algılayıcı ve bir kamera yardımıyla el hareketlerinin sınıflandırılması 

      Erden, Fatih; Bingol, A. S.; Çetin, A. Enis (IEEE, 2014-04)
      Bu makalede, iki diferansiyel kızılberisi algılayıcı (PIR) ve bir kamera kullanılarak geliştirilen el jestleri algılama ve sınıflandırma sistemi tanıtılmaktadır. İzlenen alanda diferansiyel PIR algılayıcı dizisi ile hareket ...
    • Introduction to the issue on emerging techniques in 3-D 

      Alatan, A. A.; Ostermann, J.; Onural, L.; AlRegib, G.; Mattoccia, S.; Yuan, C. (IEEE, 2012)
      The fifteen papers in this special section that focus on three dimensional content (3D), with particular emphasis on the fusion of conventional camera outputs with those captured by other modalities, such as active sensors, ...
    • Mobile image search using multi-query images 

      Çalışır, Fatih; Bastan, M.; Güdükbay, Uğur; Ulusoy, Özgür (IEEE, 2015)
      Recent advances in mobile device technology have turned the mobile phones into powerfull devices with high resolution cameras and fast processing capabilities. Having more user interaction potential compared to regular ...
    • A multi-modal video analysis approach for car park fire detection 

      Verstockt, S.; Hoecke, S. V.; Beji, T.; Merci, B.; Gouverneur, B.; Çetin, A. Enis; Potter, P. D.; Walle, R. V. D. (Elsevier, 2013)
      In this paper a novel multi-modal flame and smoke detector is proposed for the detection of fire in large open spaces such as car parks. The flame detector is based on the visual and amplitude image of a time-of-flight ...
    • 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 ...
    • 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 ...
    • Real-time fire and flame detection in video 

      Dedeoğlu, Yigithan; Töreyin, B. Ugur; Güdükbay, Uğur; Çetin, A. Enis (IEEE, 2005)
      This paper proposes a novel method to detect fire and/or flame by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker 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 ...
    • A robust system for counting people using an infrared sensor and a camera 

      Erden, F.; Alkar, A. Z.; Çetin, A. Enis (Elsevier BV, 2015)
      In this paper, a multi-modal solution to the people counting problem in a given area is described. The multi-modal system consists of a differential pyro-electric infrared (PIR) sensor and a camera. Faces in the surveillance ...
    • Searching for repeated video sequences 

      Can, Tolga; Duygulu, Pınar (ACM, 2007-09)
      In this paper, we propose a new method to search different instances of a video sequence inside a long video and/or video collection. The proposed method is robust to view point and illumination changes which may occur ...
    • Video fire detection-Review 

      Çetin, A. Enis; Dimitropoulos, K.; Gouverneur, B.; Grammalidis, N.; Günay, O.; Habiboğlu, Y. H.; Töreyin, B. U.; Verstockt, S. (Elsevier, 2013)
      This is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to ...