Context Identification from Video-surveillance Scenes of Multipurpose Halls
| Publicatietype: | In proceedings |
| Citatie: | |
| Jaar: | 2014 |
| Maand: | Maart |
| Locatie: | Lebanese University, Hadath, Lebanon |
| Organisatie: | LAAS'14, 27-29.03.2014 |
| Samenvatting: | 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. |
| Trefwoorden: | context modeling, Pattern Recognition, Transferable Belief Model, Video-surveillance |
| Auteurs | |
| Toegevoegd door: | [] |
| Totaalscore: | 0 |
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