Browsing by Author "Chathuramali, KGM"

Sort by: Order: Results:

  • Abnormal activity recognition using spatio-temporal features 
    Chathuramali, KGM; Ramasinghe, S; Rodrigo, BKRP [Conference-Abstract]
    Abnormal activity detection plays an important role in many areas such as surveillance, military installations, and sports. Existing abnormal activity detectors mostly rely on motion data obtained over a number of frames ...
  • Action recognition using a spatio-temporal model in dynamic scenes 
    Chathuramali, KGM; Rodrigo, R [Conference-Abstract]
    Action recognition in a video plays an important role in computer vision and finds many applications in areas such as surveillance, sports, and elderly monitoring. Existing methods mostly rely on stationary backgrounds. ...
  • Faster Human Activity Recognition with SVM 
    Chathuramali, KGM; Rodrigo, R [Conference-Abstract]
    Human activity recognition finds many applications in areas such as surveillance, and sports. Such a system classifies a spatio-temporal feature descriptor of a human figure in a video, based on training examples. However ...
  • Faster human activity recognition with SVM 
    Chathuramali, KGM; Rodrigo, BKRP [Conference-Full-text]
    Human activity recognition finds many applications in areas such as surveillance, and sports. Such a system classifies a spatio-temporal feature descriptor of a human figure in a video, based on training examples. However ...
  • Performance evaluation of human activity recognition in video sequences 
    Chathuramali, KGM [Thesis-Abstract]
    In this thesis, we address human behavior recognition, as one of the important topics in computer vision. It finds applications in many areas such as surveillance, military installations, and sports. The problem becomes ...
  • Recognition of Badminton strokes using dense trajectories 
    Ramasinghe, S; Chathuramali, KGM; Rodrigo, BKRP [Conference-Abstract]
    Automatic stroke recognition of badminton video footages plays an important role in the process of analyzing players and building up statistics. Yet recognizing activities from broadcast videos is a challenging task due ...