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Motion Segmentation Aided Super Resolution Image Reconstruction, Muharrem Mercimek
Motion Segmentation Aided Super Resolution Image Reconstruction, Muharrem Mercimek
Doctoral Dissertations
This dissertation addresses Super Resolution (SR) Image Reconstruction focusing on motion segmentation. The main thrust is Information Complexity guided Gaussian Mixture Models (GMMs) for Statistical Background Modeling. In the process of developing our framework we also focus on two other topics; motion trajectories estimation toward global and local scene change detections and image reconstruction to have high resolution (HR) representations of the moving regions. Such a framework is used for dynamic scene understanding and recognition of individuals and threats with the help of the image sequences recorded with either stationary or non-stationary camera systems.
We introduce a new technique called …