The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 12, 2022

Filed:

Dec. 29, 2020
Applicant:

Deepmind Technologies Limited, London, GB;

Inventors:

Nicholas Watters, London, GB;

Razvan Pascanu, Letchworth Garden City, GB;

Peter William Battaglia, London, GB;

Daniel Zorn, London, GB;

Theophane Guillaume Weber, London, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/174 (2014.01); H04N 19/105 (2014.01); H04N 19/139 (2014.01); H04N 19/46 (2014.01); H04N 19/52 (2014.01); H04N 19/577 (2014.01); H04N 19/61 (2014.01);
U.S. Cl.
CPC ...
H04N 19/174 (2014.11); H04N 19/105 (2014.11); H04N 19/139 (2014.11); H04N 19/46 (2014.11); H04N 19/52 (2014.11); H04N 19/577 (2014.11); H04N 19/61 (2014.11);
Abstract

A system implemented by one or more computers comprises a visual encoder component configured to receive as input data representing a sequence of image frames, in particular representing objects in a scene of the sequence, and to output a sequence of corresponding state codes, each state code comprising vectors, one for each of the objects. Each vector represents a respective position and velocity of its corresponding object. The system also comprises a dynamic predictor component configured to take as input a sequence of state codes, for example from the visual encoder, and predict a state code for a next unobserved frame. The system further comprises a state decoder component configured to convert the predicted state code, to a state, the state comprising a respective position and velocity vector for each object in the scene. This state may represent a predicted position and velocity vector for each of the objects.


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