Image embedding for object tracking

Techniques are disclosed for implementing a neural network that outputs embeddings. Furthermore, techniques are disclosed for using sensor data to train a neural network to learn such embeddings. In some examples, the neural network may be trained to learn embeddings. The embeddings may be used for...

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Bibliographic Details
Main Authors Tariq, Sarah, Philbin, James William Vaisey, Evans, Bryce A
Format Patent
LanguageEnglish
Published 30.08.2022
Subjects
CALCULATING
COMPUTING
CONTROLLING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
REGULATING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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Summary:Techniques are disclosed for implementing a neural network that outputs embeddings. Furthermore, techniques are disclosed for using sensor data to train a neural network to learn such embeddings. In some examples, the neural network may be trained to learn embeddings. The embeddings may be used for object identification, object matching, object classification, and/or object tracking in various examples.
Bibliography:Application Number: US202017088447