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2018 GTC Washington DC

DC8128 - Deep Learning for Smart Home Monitoring

Session Speakers
Session Description

We address the recognition of agent-in-place actions, which are associated with agents who perform them and places where they occur, in the context of outdoor home monitoring. We introduce a representation of the geometry and topology of scene layouts so that a network can generalize from the layouts observed in the training set to unseen layouts in the test set. We introduce the Agent-in-Place Action dataset to show that our method allows neural network models to generalize significantly better to unseen scenes.


Additional Information
Intelligent Video Analytics
Intelligent Video Analytics
Media & Entertainment, Internet / Telecommunications
All technical
Talk
50 minutes
Session Schedule