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Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic
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作者 Durr-e-Nayab Ali Mustafa Qamar +4 位作者 Rehan Ullah Khan Waleed Albattah Khalil Khan Shabana Habib Muhammad Islam 《Computers, Materials & Continua》 SCIE EI 2022年第6期5581-5601,共21页
The advent of the COVID-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related tasks.Video surveillance and crowd management using video ana... The advent of the COVID-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related tasks.Video surveillance and crowd management using video analysis techniques have significantly impacted today’s research,and numerous applications have been developed in this domain.This research proposed an anomaly detection technique applied to Umrah videos in Kaaba during the COVID-19 pandemic through sparse crowd analysis.Managing theKaaba rituals is crucial since the crowd gathers from around the world and requires proper analysis during these days of the pandemic.The Umrah videos are analyzed,and a system is devised that can track and monitor the crowd flow in Kaaba.The crowd in these videos is sparse due to the pandemic,and we have developed a technique to track the maximum crowd flow and detect any object(person)moving in the direction unlikely of the major flow.We have detected abnormal movement by creating the histograms for the vertical and horizontal flows and applying thresholds to identify the non-majority flow.Our algorithm aims to analyze the crowd through video surveillance and timely detect any abnormal activity tomaintain a smooth crowd flowinKaaba during the pandemic. 展开更多
关键词 Computer vision COVID sparse crowd crowd analysis flow analysis sparse crowd management tawaaf video analysis video processing
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