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2018 GTC San Jose
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L8157 - Object Tracking for Large-Scale Full Motion Video

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Session Description

Traffic cameras, drones, and aerial sensor platforms are collecting huge amounts of video data, which requires advanced AI techniques to extract actionable information. In this lab, you'll learn how to track moving objects in large-scale video datasets through hands-on exercises that explore the strategies and trade-offs involved in developing high-quality neural network models. You'll:

•Learn how to handle and extract actionable information from raw and large video datasets

•Train a deep neural network model to perform object detection using the TensorFlow Object Detection API

•Apply algorithms to track objects over time and evaluate the accuracy tracking information

Upon completion, you'll have trained a deep neural network model to detect and track objects in large-scale video datasets

Presented by the NVIDIA Deep Learning Institute (DLI).


Additional Information
Intelligent Video Analytics and Smart Cities, Video and Image Processing
Aerospace, Defense, Gaming, Government / National Labs, IT Services, Media & Entertainment
All technical
Instructor-Led Lab
2 Hours
Session Schedule
     
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