Abstract : Recognizing human-related events is a current area of study. There has been a lot of interest in real-time video event recognition. This is a difficult task due to the spatial and temporal variations in the frame. The proposed work is a real-time video event recognition approach that integrates detection probability, descriptive labels, and classification. This method for developing recognition strategies from event descriptors uses multi-decision fusion with probabilities (MDFP), where a consec
Keywords : MDFP, Event Recognition Using Multi Decision Fusion, Videos Recognizing, unsupervised, technique