US 2021/0279892 A1 · IMAGE PROCESSING METHOD AND DEVICE, AND NETWORK TRAINING METHOD AND DEVICE

Abstract

An image processing method and a device, and a network training method and a device are provided. The image processing method includes determining a guide group arranged on an image to be processed and directed at a target object, the guide group comprising at least one guide point, and the guide point being used to indicate the position of a sampling pixel, and the magnitude and direction of the motion speed of the sampling pixel; and on the basis of the guide point in the guide group and the image to be processed, performing optical flow prediction to obtain the motion of the target object in the image to be processed.

Claims20

Dependent claims

An image processing method, comprising:

determining a guidance group set for a target object in a to-be-processed image, the guidance group comprising at least one guidance point, the guidance point being configured to indicate a position of a sampling pixel and a magnitude and direction of a motion velocity of the sampling pixel, and the sampling pixel being a pixel of the target object in the to-be-processed image;
and
performing, according to the guidance point in the guidance group and the to-be-processed image, optical flow prediction to obtain a motion of the target object in the to-be-processed image.

An electronic device, comprising:

a processor;
and
a memory, configured to store instructions executable for the processor,
wherein when the instructions are executed by the processor, the processor is configured to:
determine a guidance group set for a target object in an to-be-processed image, the guidance group comprising at least one guidance point, the guidance point being configured to indicate a position of a sampling pixel and a magnitude and direction of a motion velocity of the sampling pixel and the sampling pixel being a pixel of the target object in the to-be-processed image;
and
perform, according to the guidance point in the guidance group and the to-be-processed image, optical flow prediction to obtain a motion of the target object in the to-be-processed image.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application

17/329,534Filed 25 May 2021

Priority

CN 201910086044.329 Jan 2019

Published

9 Sep 2021

Term ends

Not estimatedThe source records don’t support an estimate.

Classification20 codes

G06V 40/23
Movements or behaviour, e.g. gesture recognition: recognition of whole body movements, e.g. for sport training
G06F 18/2413
Relating to the classification model, e.g. parametric or non-parametric approaches: based on distances to training or reference patterns
G06F 18/253
Fusion techniques: of extracted features
G06F 18/254
Fusion techniques: of classification results, e.g. of results related to same input data

Image processing method and device, and network training method and device

Life of this patent

Image processing method and device, and network training method and device

Life of this patent

Abstract

Claims20