Evènement pour le groupe Séminaire du LaBRI

Date 2008-11-20  14:00-15:00
TitreSéminaire LaBRI: Bayesian inference for video geometry. Tamas Sziranyi 
RésuméStructure and objects in video images are often not known. If we search for camera registration or focused areas of these situations, some a priori knowledge was needed. Now I present methods for finding geometrical structures in images or videos without any preliminary object definition: - First, a new motion-based method is presented for automatic registration of images in multi-camera systems, to permit synthesis of wide-baseline composite views by using an iterative Bayesian assignment of corresponding image areas. Another application of this co-motion inference is to find the vanishing-point position for planar reflected images or shadows. - A new automatic solution for finding focused areas based on localized blind deconvolution. This approach makes possible to determine the relative blur of image areas without a priori knowledge about the images or the shooting conditions. The method uses deconvolution based feature extraction and a new residual error based classification for the discrimination of image areas. We also show the method´s usability for applications in content based indexing and video feature extraction. - An MRF approach is also introduced for Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos.  
LieuAmphi LaBRI 
OrateurTamas Sziranyi 
UrlComputer and Automation Institute of Hungarian Academy of Sciences and PeterPazmani Catholic University of Budapest 

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