Human behavior recognition method and electronic device

A recognition method and behavior technology, applied in the field of image processing, can solve problems such as human behavior recognition, achieve the effect of improving accuracy, reducing the probability of false positives, and solving human behavior recognition problems

Active Publication Date: 2021-09-07
HISENSE
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] This application provides a human behavior recognition method and electronic equipment to solve the problem of human behavior recognition in multi-person scenarios

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  • Human behavior recognition method and electronic device
  • Human behavior recognition method and electronic device
  • Human behavior recognition method and electronic device

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Embodiment Construction

[0025] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the accompanying drawings in this application. Obviously, the described embodiments are part of the embodiments of this application , but not all examples. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0026] First of all, some terms used in the embodiments of the present application are explained below to facilitate the understanding of those skilled in the art.

[0027] 1. Depth data flow, the distance between the video capture device (such as a camera, video camera) and each point in the shooting scene.

[0028] 2. Color data stream, video data collected by video capture equipment.

[0029] 3. The openpose ...

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Abstract

The present application provides a human behavior recognition method and electronic equipment. The method includes: performing three-dimensional attitude estimation on the collected video data fragments, obtaining the three-dimensional skeleton point coordinates of each person in the video data fragments, the video data fragments include depth data streams and color data streams; selecting two people in the video data fragments, according to The center of gravity distance and motion vector of two people determine the action type of the two people. The action type is a single action or a two-person interactive action. The center of gravity distance and motion vector are calculated according to the three-dimensional bone point coordinates of each person; according to the determined action type, The three-dimensional bone point coordinates of each person corresponding to the action type are input into the action model for action recognition, and the action recognition result is obtained, wherein different action types correspond to different action models. Thus, human behavior can be accurately recognized.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a human behavior recognition method and electronic equipment. Background technique [0002] Human body behavior recognition refers to adding action type labels to videos containing human body movements. With the acceleration of the pace of social life, monitoring the health and living conditions of the elderly and children in the family has become an increasingly prominent social problem. Behavior recognition technology to build a smart home environment has become a research hotspot in the academic circles. [0003] Most of the behaviors in daily life occur on the individual or between two individuals. The behavior that occurs on the individual is called a single-person action, and the behavior that occurs between two individuals is called a two-person interaction. Single-person actions such as falling, Writing, sitting down, walking, etc., two-person interact...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/64G06V40/20
Inventor 陈维强张玉高雪松
Owner HISENSE
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