Dynamic Camera Reconfiguration with Reinforcement Learning and Stochastic Methods for Crowd Surveillance

Dynamic Camera Reconfiguration with Reinforcement Learning and Stochastic Methods for Crowd Surveillance

Crowd surveillance plays a key role to ensure safety and security in public areas. Surveillance systems traditionally rely on fixed camera networks, which suffer from limitations, as coverage of the monitored area, video resolution and analytic performance. On the other hand, a smart camera network...

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Bibliographic Details
Main Authors: Niccolò Bisagno, Alberto Xamin, Francesco De Natale, Nicola Conci, Bernhard Rinner
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
distributed camera network
reinforcement learning
crowd surveillance
UAV
PTZ
simulation
Online Access:https://www.mdpi.com/1424-8220/20/17/4691

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https://www.mdpi.com/1424-8220/20/17/4691

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