Now showing items 1-5 of 5

    • 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 ...
    • Pose sentences: a new representation for action recognition using sequence of pose words 

      Hatun, Kardelen; Duygulu, Pınar (IEEE, 2008-12)
      We propose a method for recognizing human actions in videos. Inspired from the recent bag-of-words approaches, we represent actions as documents consisting of words, where a word refers to the pose in a frame. Histogram ...
    • Recognizing actions from still images 

      İkizler, Nazlı; Cinbiş, R .Gökberk; Pehlivan, Selen; Duygulu, Pınar (IEEE, 2008-12)
      In this paper, we approach the problem of under- standing human actions from still images. Our method involves representing the pose with a spatial and ori- entational histogramming of rectangular regions on a parse ...
    • 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 ...
    • Two-person interaction recognition via spatial multiple instance embedding 

      Sener F.; Ikizler-Cinbis, N. (Academic Press Inc., 2015)
      Abstract In this work, we look into the problem of recognizing two-person interactions in videos. Our method integrates multiple visual features in a weakly supervised manner by utilizing an embedding-based multiple instance ...