Scalable deep learning video analytics
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United States of America Patent
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Nov 6, 2018
Grant Date -
Jun 14, 2018
app pub date -
Dec 9, 2016
filing date -
Dec 9, 2016
priority date (Note) -
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Abstract
In one embodiment, a method includes receiving training data, the training data including training video data representing video of a location in a quiescent state, training a neural network using the training data to obtain a plurality of metrics, receiving current data, the current data including current video data representing video of the location at a current time period, generating a reconstruction error based on the plurality of metrics and the current video data in the embedded space, and generating, in response to determining that the reconstruction error is greater than a threshold, a notification indicative of the location being in a non-quiescent state.
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