Now showing items 1-9 of 9

    • 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 ...
    • Cepstrum based method for moving shadow detection in video 

      Cogun, F.; Cetin, A. E. (Springer Netherlands, 2010)
      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 ...
    • Moving shadow detection in video using cepstrum 

      Cogun, F.; Cetin, A. E. (SAGE, 2013)
      Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use ...
    • Scalable image quality assessment with 2D mel-cepstrum and machine learning approach 

      Narwaria, M.; Lin, W.; Cetin, A. E. (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 ...
    • Small moving object detection in video sequences 

      Zaibi, R.; Çetin, A. E.; Yardımcı, Y. (Institute of Electrical and Electronics Engineers, 2000)
      In this paper, we propose a method for detection of small moving objects in video. We first eliminate the camera motion using motion compensation. We then use an adaptive predictor to estimate the current pixel using ...
    • Small moving object detection using adaptive subband decomposition and fractional lower order statistics in video sequences 

      Bagci, A.M.; Yardimci, Y.; Çetin, A.E. (2001)
      In this paper, a small moving object method detection method in video sequences is described. In the first step, the camera motion is eliminated using motion compensation. An adaptive subband decomposition structure is ...
    • Small moving object detection using adaptive subband decomposition in video sequences 

      Zaibi, R.; Cetin, E. A.; Yardimci, Y. C. (Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States, 2000)
      In this paper, a small moving object method detection method in video sequences is described. In the first step, the camera motion is eliminated using motion compensation. An adaptive subband decomposition structure is ...
    • Two-dimensional triangular mesh-based mosaicking for object tracking in the presence of occlusion 

      Toklu, C.; Tekalp, A.M.; Erdem, A.T. (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 ...
    • Wildfire detection using LMS based active learning 

      Ugur Toreyin, B.; Enis Cetin, A. (2009)
      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) ...