Now showing items 1-5 of 5

    • 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 with line and flow histograms 

      İkizler, Nazlı; Cinbiş, R. Gökberk; Duygulu, Pınar (IEEE, 2008-12)
      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 ...
    • On recognizing actions in still images via multiple features 

      Şener, Fadime; Bas, C.; Ikizler-Cinbis, N. (Springer, Berlin, Heidelberg, 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 ...
    • Recognizing human actions from noisy videos via multiple instance learning 

      şener, Fadime; Samet, Nermin; Duygulu, Pınar; Ikizler-Cinbis, N. (IEEE, 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, 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 ...