Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Human body posture behavior intelligent analysis and recognition method

A technology of intelligent analysis and human posture, applied in character and pattern recognition, instruments, computer parts, etc. It can solve the problems of poor foreground image clarity and high misjudgment rate of abnormal behavior, and achieve the effect of high accuracy.

Inactive Publication Date: 2019-08-30
哈工大机器人义乌人工智能研究院
View PDF1 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology has the problems of poor foreground image clarity and high misjudgment rate of abnormal behaviors

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
  • Human body posture behavior intelligent analysis and recognition method
  • Human body posture behavior intelligent analysis and recognition method
  • Human body posture behavior intelligent analysis and recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0027] Embodiment: a kind of human body posture behavior intelligent analysis and recognition method of the present embodiment, such as figure 1 shown, including the following steps:

[0028] S1: Establish a behavioral analysis model, including the following steps:

[0029] S101: collecting sample video data;

[0030] S102: Extract all relevant nodes of each human body in each frame image in the sample video, connect all relevant nodes of each human body segmentally and partly, connect all relevant nodes belonging to the same human body, and finally merge into a person's overall skeletal framework;

[0031] S103: Connect the same joint points of each human body in two adjacent frames of images to form a space-time map of each human skeleton frame;

[0032] S104: Collect feature information on all relevant nodes in the time-space diagram of each human skeleton frame, use a SoftMax classifier to classify behaviors, and classify behavior feature categories;

[0033] S105: Per...

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 discloses a human body posture behavior intelligent analysis and recognition method. The method comprises the following steps: collecting sample video data; extracting all joint points of each human body in each frame of image in the sample video, and connecting all joint points of each human body in a segmented and partial manner; connecting the same joint point of each human body in two adjacent frames of images to form a space-time diagram of each human body skeleton framework; classifying the behaviors by adopting a SoftMax classifier, and dividing behavior feature categories; performing deep learning according to the divided behavior feature categories, and training a behavior analysis model; collecting a human body posture behavior video to be analyzed, extracting a space-time diagram of each human body skeleton framework in the video, inputting the space-time diagrams into the behavior analysis model, and analyzing the behavior category of each human body in the video by the behavior analysis module. Human body posture behaviors are analyzed and recognized through feature extraction, behavior modeling and behavior classification, and the accuracy is high.

Description

technical field [0001] The invention relates to the technical field of human body behavior recognition, in particular to an intelligent analysis and recognition method for human body gestures and behaviors. Background technique [0002] The intelligent analysis and recognition of human body posture and behavior extracts the behavior-related information contained in the data by analyzing video or image data, thereby establishing a bridge between the underlying data and high-level semantic understanding of behavior. There is a semantic gap between the low-level expression of the content and the high-level expression. How to eliminate this semantic gap is a problem that content understanding has been trying to solve. [0003] In the existing technology, the video containing the human body is generally shot by the camera; then, the human body image is extracted from the video, and the human skeleton is detected from the human body image area, and the behavior of the human body i...

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): G06K9/00G06K9/62
CPCG06V40/103G06F18/241G06F18/24147
Inventor 王洋洋刘绍辉何周琴叶江海
Owner 哈工大机器人义乌人工智能研究院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products