Now showing items 1-5 of 5

    • A discussion on homography between stationary multi-camera systems and the soccer field model 

      Baysal, Sermetcan; Duygulu, Pınar; Kayalar, Ceren (IEEE, 2012)
      Computer vision based athlete tracking systems use different methods to segment players from the background and then track them automatically throughout the video. It is insufficient to know a player's position on the image ...
    • A line based pose representation for human action recognition 

      Baysal, Sermetcan (Bilkent University, 2011)
      In this thesis, we utilize a line based pose representation to recognize human actions in videos. We represent the pose in each frame by employing a collection of line-pairs, so that limb and joint movements are better ...
    • Mağaza katalogları içerisinde resim arama 

      Baysal, Sermetcan; Kurt, Mehmet Can; Aydoğdu, Gonca; Damcı, Pelin; Telmen, İlay; Duygulu, Pınar (IEEE, 2009-04)
      In this paper, an overview of an application, which aims to make significant improvements on access methods to the online shopping catalogs, is presented. In current online shopping sites, only browsing and semantic based ...
    • Model field particles with positional appearance learning for sports player tracking 

      Baysal, Sermetcan (Bilkent University, 2016-06)
      Tracking multiple players is crucial to analyzing sports videos in real time. Yet, illumination variations, background clutter, frequent occlusions among players who look similar in low-resolution, and non-linear motion ...
    • Recognizing human actions using key poses 

      Baysal, Sermetcan; Kurt, Mehmet Can; Duygulu, Pınar (IEEE, 2010)
      In this paper, we explore the idea of using only pose, without utilizing any temporal information, for human action recognition. In contrast to the other studies using complex action representations, we propose a simple ...