Now showing items 1-12 of 12

    • A hand gesture recognition technique for human-computer interaction 

      Kılıboz, N. Ç.; Güdükbay, Uğur (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 ...
    • 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 

      İkizler, Nazlı; Duygulu, Pınar (Springer, 2007-10)
      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 

      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 ...
    • iki diferansiyel PIR algılayıcı ve bir kamera yardımıyla el hareketlerinin sınıflandırılması 

      Erden, Fatih; Bingol, A. S.; Çetin, A. Enis (IEEE, 2014-04)
      Bu makalede, iki diferansiyel kızılberisi algılayıcı (PIR) ve bir kamera kullanılarak geliştirilen el jestleri algılama ve sınıflandırma sistemi tanıtılmaktadır. İzlenen alanda diferansiyel PIR algılayıcı dizisi ile hareket ...
    • 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 

      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 ...
    • Real time hand gesture recognition for computer interaction 

      Farooq, J.; Ali, Muhaddisa Barat (IEEE, 2014-04)
      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. ...
    • Recognition of occupational therapy exercises and detection of compensation mistakes for cerebral palsy 

      Ongun, Mehmet Faruk; Güdükbay, Uğur; Aksoy, Selim (Elsevier, 2020)
      Depth camera-based virtual rehabilitation systems are gaining attention in occupational therapy for cerebral palsy patients. When developing such a system, domain-specific exercise recognition is vital. To design such a ...
    • 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 ...
    • Vision-based single-stroke character recognition for wearable computing 

      Özer, Ö. F.; Özün, O.; Tüzel, C. Ö.; Atalay, V.; Çetin, A. Enis (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 ...