Now showing items 1-11 of 11

    • A hand gesture recognition technique for human-computer interaction 

      Kılıboz, N. Ç.; Güdükbay U. (Academic Press, 2015)
      We propose an approach to recognize trajectory-based dynamic hand gestures in real time for human-computer interaction (HCI). We also introduce a fast learning mechanism that does not require extensive training data to ...
    • Hand gesture recognition using two differential PIR sensors and a camera 

      Erden F.; Bingol, A.S.; Cetin, A.E. (IEEE Computer Society, 2014)
      In this paper, a hand gesture detection and classification system using two differential Pyro-electric Infrared (PIR) sensors and a camera is introduced. Motion presence is investigated in the area of interest using two ...
    • Histogram of oriented rectangles: a new pose descriptor for human action recognition 

      İkizler, N.; Duygulu, P. (Elsevier BV, 2009-09-02)
      Most of the approaches to human action recognition tend to form complex models which require lots of parameter estimation and computation time. In this study, we show that, human actions can be simply represented by pose ...
    • Human action recognition using distribution of oriented rectangular patches 

      Ikizler, N.; Duygulu P. (2007)
      We describe a "bag-of-rectangles" method for representing and recognizing human actions in videos. In this method, each human pose in an action sequence is represented by oriented rectangular patches extracted over the ...
    • Human action recognition with line and flow histograms 

      Ikizler, N.; Cinbis, R.G.; Duygulu P. (2008)
      We present a compact representation for human action recognition in videos using line and optical flow histograms. We introduce a new shape descriptor based on the distribution of lines which are fitted to boundaries of ...
    • A line based pose representation for human action recognition 

      Baysal, S.; Duygulu, P. (2013)
      In this paper, 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 ...
    • On recognizing actions in still images via multiple features 

      Sener F.; Bas, C.; Ikizler-Cinbis, N. (2012)
      We propose a multi-cue based approach for recognizing human actions in still images, where relevant object regions are discovered and utilized in a weakly supervised manner. Our approach does not require any explicitly ...
    • Real time hand gesture recognition for computer interaction 

      Farooq J.; Ali, M.B. (IEEE Computer Society, 2014)
      Hand gesture recognition is a natural and intuitive way to interact with the computer, since interactions with the computer can be increased through multidimensional use of hand gestures as compare to other input methods. ...
    • Recognizing human actions from noisy videos via multiple instance learning 

      Sener F.; Samet, N.; Duygulu P.; Ikizler-Cinbis, N. (2013)
      In this work, we study the task of recognizing human actions from noisy videos and effects of noise to recognition performance and propose a possible solution. Datasets available in computer vision literature are relatively ...
    • Recognizing human actions using key poses 

      Baysal, S.; Kurt, M.C.; Duygulu P. (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 ...
    • Vision-based single-stroke character recognition for wearable computing 

      Özer, Ö. F.; Özün, O.; Tüzel, C. Ö.; Atalay, V.; Çetin, A. E. (IEEE, 2001)
      Particularly when compared to traditional tools such as a keyboard or mouse, wearable computing data entry tools offer increased mobility and flexibility. Such tools include touch screens, hand gesture and facial expression ...