Multiple trace point-based human body action recognition method

A human body action recognition and tracking point technology, which is applied in character and pattern recognition, image data processing, instruments, etc., can solve the problem of not being able to record the positions and motion information of multiple parts of the human body

Active Publication Date: 2011-02-02
SHENZHEN TAISHAN SPORTS TECH CO LTD
View PDF0 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is to provide a direct recognition method based on multi-tracking point human motion or posture in view of the above-mentioned defects of the existing human motion recognition method technology that cannot record the positions and motion information of multiple parts of the human body

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multiple trace point-based human body action recognition method
  • Multiple trace point-based human body action recognition method
  • Multiple trace point-based human body action recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] Preferred embodiments of the present invention are described in detail below.

[0058] Such as figure 1 As shown, the implementation process of the human action recognition method based on multiple tracking points of the present invention includes the following steps:

[0059] In step S1, based on the action requirements that need to be judged, at least one tracking point is set on the human body or sports equipment to be tested; in step S2, the spatial position of each tracking point at different times is collected and recorded as the tracking point A corresponding group of data points; in step S3, use the spatial position data of a group of data points corresponding to each of the above-mentioned tracking points, and calculate the corresponding action data of each tracking point based on the action requirements that need to be judged; in step S4 , according to the corresponding motion data of each tracking point, the motion motion of the human body to be tested is id...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a multiple trace point-based human body action recognition method. The method comprises the following steps of: based on an action requirement needing to be judged, setting at least one trace point on a human body or a sports apparatus to be tested; acquiring the space positions of each track point at different moments and recording the acquired space positions as a group of data points corresponding to the trace points; calculating corresponding action data of each trace point based on the action requirement needing to be judged by using the space position data of the group of data points corresponding to each trace point; and recognizing the movement action of the human body to be tested according to the corresponding action data of each trace point. The method can also recognize a human body gesture. The method has the advantages of realizing tracking of a plurality of targets, tracking a plurality of positions of the human body to be tested, recording the movement locus of a tracked position, positioning and describing the posture of the human body and truly reflecting the movement situation of the human body.

Description

technical field [0001] The invention relates to the field of computer applications, more specifically, to a multi-tracking point-based human action recognition method. Background technique [0002] With the development of computer technology, people can use computers to complete a lot of difficult work. Accurate recognition of human body movements by combining computers can be widely used in the fields of intelligent human-computer interaction, video surveillance, and digital entertainment. It is currently a research hotspot in the field of computer vision and pattern recognition. In some fields of virtual reality, such as digital entertainment, it is usually necessary for the computer to transmit stimulation signals to the human senses on the one hand, and to receive the operator's response on the other hand, such as changes in body posture, etc., and then according to the position and state of the human body itself transformation to adjust the stimulus signal. Therefore,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06K9/00
CPCG06K9/00342G06V40/23
Inventor 王跃甘泉彭立焱周琨沈伟
Owner SHENZHEN TAISHAN SPORTS TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products