Abstract: Approaches describe detecting and predicting crowd congestion in real-time for large gatherings, for example large religious mass gatherings. Approaches may utilize image and/or video data, and/or pedestrian trajectory data. The various pieces of information may be identified, extracted, and/or determined from a variety of different disaggregated sources and may be aggregated, and/or determined to generate a congestion detection score and/or score map that is indicative of the degree of crowd congestion in a geographic region and can forecast future crowd congestion in the geographic region. Approaches may be used to monitor a crowd to prevent or mitigate crowd disasters. Moreover, approaches may be used by crowd management entities to timely detect congested regions and manage the crowd efficiently.