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Saturday, May 19
Data Science
Data Science and Machine Learning in Naval Applications
Sat, May 19, 8:30 AM - 10:00 AM
Grand Ballroom G

Human Motion Analysis Using Deep Learning for Potential Threats (304768)

*Alex Feild, Naval Surface Warfare Center 
Thomas Teague, Naval Surface Warfare Center 

Keywords: generative models, long short-term memory, video, violence

Humans can be overwhelmed by large search dimensionality and are subject to their own biases. This situation can become especially overwhelming in Navy security applications. The purpose of this research is to augment search and detect functions for violent actions in video data. In this talk we will present a deep neural network architecture that has achieved state-of-the-art results on detecting violence in common datasets using 3D convolutional long short-term memory (3DconvLSTM) networks. We will also discuss expanding this architecture to problem of predicting violence. Finally, we will discuss sampling the space of violent video features using deep generative models, for the purpose of assessing model vulnerabilities.