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Foreground objects segmentation for moving camera scenarios based on SCGMM
Gallego Vila, Jaime; Pardàs Feliu, Montse; Solano, Montse
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
In this paper we present a new system for segmenting non-rigid objects in moving camera sequences for indoor and outdoor sce narios that achieves a correct object segmentation via global MAP-MRF framework formulation for the foreground and background classification task. Our proposal, suitable for video indexation applications, receives as an input an initial segmentation of the object to segment and it consists of two region-based parametric probabilistic models to model the spatial (x,y) and color (r,g,b) domains of the foreground and background classes. Both classes rival each other in modeling the regions that appear within a dynamic region of interest that includes the foreground object to segment and also, the background regions that surrounds the object. The results presented in the paper show the correctness of the object segmentation, reducing false positive and false negative detections originated by the new background regions that appear near the region of the object
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
Image processing -- Digital techniques
Digital video
Imatges -- Processament --Tècniques digitals
Vídeo digital
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
Springer
         

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