%Aigaion2 BibTeX export from HES SO Valais Publications
%Saturday 02 May 2026 02:34:07 PM

@INPROCEEDINGS{,
        author = {Charara, Nour and Jarkass, Iman and Maria, Sokhn and Abou Khaled, Omar and Mugellini, Elena},
      keywords = {context modeling, Pattern Recognition, Transferable Belief Model, Video-surveillance},
         month = mar,
         title = {Context Identification from Video-surveillance Scenes of Multipurpose Halls},
          year = {2014},
      location = {Lebanese University, Hadath, Lebanon},
  organization = {LAAS'14, 27-29.03.2014},
      abstract = {A novel method for multimodal context identification from video-surveillance footage of multipurpose halls is presented is this paper. After presenting a dedicated definition of ‘Context’ in computer vision systems, the goal is resumed by detecting the active context type among predefined ones. To this end, a spatial modeling of context is performed by extracting five discriminative semantic features according to depth zones. These zones are detected by depth-based scene segmentation method. These features are processed with the Transferable Belief Model (TBM) to propose a classification. Results show the validity of the method for context recognition.}
}