Browsing by Keywords "Video recording"

Now showing items 1-16 of 16

    • 2-D triangular mesh-based mosaicking for object tracking in the presence of occlusion 

      Toklu, C.; Tekalp, A. M.; Erdem, A. Tanju (SPIE, 1997)
      In this paper, we describe a method for temporal tracking of video objects in video clips. We employ a 2D triangular mesh to represent each video object, which allows us to describe the motion of the object by the displacements ...

    • 3D human pose search using oriented cylinders 

      Pehlivan, Selen; Duygulu, Pınar (IEEE, 2009-09-10)
      In this study, we present a representation based on a new 3D search technique for volumetric human poses which is then used to recognize actions in three dimensional video sequences. We generate a set of cylinder like 3D ...

    • 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 ...

    • Cepstrum based method for moving shadow detection in video 

      Cogun, Fuat; Çetin, A. Enis (Springer, 2010-09)
      Moving shadows constitute problems in various applications such as image segmentation and object tracking. Main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of ...

    • Computer vision based text and equation editor for LATEX 

      Öksüz, Özcan; Güdükbay, Uğur; Çetin, Enis (IEEE, 2004-06)
      In this paper, we present a computer vision based text and equation editor for LATEX. The user writes text and equations on paper and a camera attached to a computer records actions of the user. In particular, positions ...

    • 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 ...

    • 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 ...

    • HandVR: a hand-gesture-based interface to a video retrieval system 

      Genç, S.; Baştan M.; Güdükbay, Uğur; Atalay, V.; Ulusoy, Özgür (Springer U K, 2015)
      Using one’s hands in human–computer interaction increases both the effectiveness of computer usage and the speed of interaction. One way of accomplishing this goal is to utilize computer vision techniques to develop ...

    • Key frame selection from MPEG video data 

      Gerek, Ömer. N.; Altunbaşak, Y. (SPIE, 1997-02)
      This paper describes a method for selecting key frames by using a number of parameters extracted from the MPEG video stream. The parameters are directly extracted from the compressed video stream without decompression. A ...

    • MPEG-7 uyumlu video veri tabanlari için önemli nesnelerin otomatik olarak bulunmasi 

      Baştan, Muhammed; Güdükbay, Uğur; Ulusoy, Özgür (IEEE, 2008-04)
      Bu çalışma, genel olarak nesneye dayalı endekslemeyi destekleyen, özel olarak MPEG-7 uyumlu veritabanları için, videolardan önemli nesnelerin otomatik olarak çıkarılmasını saglayabilecek bir yöntem sunmaktadır. Şimdiye ...

    • Scalable image quality assessment with 2D mel-cepstrum and machine learning approach 

      Narwaria, M.; Lin, W.; Çetin, A. Enis (Elsevier, 2011-07-19)
      Measurement of image quality is of fundamental importance to numerous image and video processing applications. Objective image quality assessment (IQA) is a two-stage process comprising of the following: (a) extraction of ...

    • Segmentation-based extraction of important objects from video for object-based indexing 

      Baştan, Muhammet; Güdükbay, Uğur; Ulusoy, Özgür (IEEE, 2008-06)
      We describe a method to automatically extract important video objects for object-based indexing. Most of the existing salient object detection approaches detect visually conspicuous structures in images, while our method ...

    • 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 ...

    • Summarization of documentaries 

      Demirtas, K.; Çiçekli, İlyas; Cicekli, N.K. (Springer, Dordrecht, 2010)
      Video summarization algorithms present condensed versions of a full length video by identifying the most significant parts of the video. In this paper, we propose an automatic video summarization method using the subtitles ...

    • Universal product design involving elderly users: a participatory design model 

      Demirbilek, O.; Demirkan, H. (Elsevier, 2004-07)
      Recent studies have shown that people prefer to age in their familiar environments, thus guiding designers to provide a safe and functionally appropriate environment for ageing people, regardless of their physical conditions ...

    • 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) ...