Relative position encoding based networks for action recognition

Patent №

US 11,468,296

Granted

2022-10-11

Filed 2018

Owner

CANON KABUSHIKI KAISHA

Lab

AI components

4

ml · nlp · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16042452

The present disclosure provides a method of recognising a first action. The method comprises determining a weighted combination of a first plurality of feature responses associated with a sequence of second actions over a period of time using a set of weights at a particular time instance in the period of time. The method then recognises the first action by processing, using a neural network, the weighted combination of the first plurality of feature responses and temporal position values of each of the first plurality of feature responses associated with the sequence of second actions.

Machine learningNatural languageVisionAI hardwareG06V 40/20G06F 18/21G06F 18/24G06N 3/044G06N 3/045G06N 3/0464G06N 3/048G06N 3/049+4 more

AI classification

Machine learning1.00
AI hardware1.00
Natural language0.98
Vision0.88
Evolutionary computation0.40
Speech0.15
Knowledge representation0.06
Planning0.00

Ownership

CANON KABUSHIKI KAISHA

assignment · 470730995

Assignors

KNITTEL, ANTHONY

On an employer assignment, the assignors are typically the inventors.

From the same owner

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