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- W1567669955 abstract "Automated crowd counting allows excessive crowding to be detected immediately, without the need for constant human surveillance. Current crowd counting systems are location specific, and for these systems to function properly they must be trained on a large amount of data specific to the target location. As such, configuring multiple systems to use is a tedious and time consuming exercise. We propose a scene invariant crowd counting system which can easily be deployed at a different location to where it was trained. This is achieved using a global scaling factor to relate crowd sizes from one scene to another. We demonstrate that a crowd counting system trained at one viewpoint can achieve a correct classification rate of 90% at a different viewpoint." @default.
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- W1567669955 date "2008-01-01" @default.
- W1567669955 modified "2023-09-22" @default.
- W1567669955 title "Scene invariant crowd counting for real-time surveillance" @default.
- W1567669955 hasPublicationYear "2008" @default.
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