Unravel: An Anomalistic Crowd Investigation Framework Using Social Airborne Sensing

2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)(2021)

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摘要
In the domain of smart city applications, anomalistic crowd investigation in public places is a crucial task for the efficient management of unforeseen crowds. Many of the current approaches for crowd monitoring utilize physical sensor-based tracking (e.g., cellular signals, cameras, RFID beacons) to detect abrupt crowds. Unfortunately, these solutions are highly application-specific and are able ...
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关键词
Smart cities,Estimation theory,Autonomous aerial vehicles,Natural language processing,Sensors,Object recognition,Synthetic aperture sonar
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