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In this paper, a new automatic system for classifying ritual locations indiverse Hajj and Umrah video scenes is investigated. This challenging subjecthas mostly been ignored in the past due to several problems one of which is thelack of realistic annotated video datasets. HUER Dataset is defined to modelsix different Hajj and Umrah ritual locations[26].  The proposed Hajj and Umrah ritual location classifying system consists offour main phases: Preprocessing, segmentation, feature extraction, and locationclassification phases. The shot boundary detection and background/foregroudsegmentation algorithms are applied to prepare the input video scenes into theKNN, ANN, and SVM classifiers. The system improves the state of art results onHajj and Umrah location classifications, and successfully recognizes the sixHajj rituals with more than 90% accuracy. The various demonstrated experimentsshow the promising results.

A Hajj And Umrah Location Classification System For Video Crowded Scenes