Unravel: An Anomalistic Crowd Investigation Framework Using Social Airborne Sensing
2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)(2021)
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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