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Action recognition method, device and equipment, medium and product

An action recognition and action technology, applied in the field of computer vision and deep learning, can solve the problem of low efficiency and achieve the effect of improving the efficiency of determination

Active Publication Date: 2021-11-02
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the current way of determining the number of actions has the problem of low efficiency

Method used

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  • Action recognition method, device and equipment, medium and product
  • Action recognition method, device and equipment, medium and product
  • Action recognition method, device and equipment, medium and product

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Embodiment Construction

[0019] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0020] It should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

[0021] Such as figure 1 As shown, the system architecture 100 may include termi...

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Abstract

The invention provides an action recognition method, device and equipment, a medium and a product, relates to the technical field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be specifically applied to smart cities and intelligent traffic scenes. The specific implementation scheme is as follows: acquiring a target video; determining each action category corresponding to the target video; for each action category, determining a video frame before action conversion and a video frame after action conversion corresponding to the action category from the target video; and determining the number of actions corresponding to each action category based on the video frame before action conversion and the video frame after action conversion corresponding to each action category. According to the implementation mode, the action frequency determination efficiency can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to computer vision and deep learning technology, which can be used in smart cities and smart traffic scenarios. Background technique [0002] Currently, human body action videos contain different types of actions, and the number of actions of these different types of actions in the human body action video needs to be determined respectively. [0003] Existing methods for determining the number of actions often require training different models for different types of actions, and reasoning about the number of actions of different types based on multiple models. It can be seen that the current way of determining the number of actions has the problem of low efficiency. Contents of the invention [0004] The present disclosure provides an action recognition method, device, equipment, medium and product. [0005] According to an aspect of the present disclosu...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/08G06N3/04
CPCG06N3/084G06N3/045G06F18/214G06F18/2415G06T2207/10016G06T2207/20081G06T2207/20076G06T7/75G06T2207/20084H04N19/132H04N19/172
Inventor 周德森王健孙昊
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD