Action recognition method and device

An action recognition and action technology, applied in the field of action recognition, can solve the problems of high algorithm time complexity, large memory, and more time, and achieve the effect of reducing computational complexity, reducing memory loss, and improving speed.
CN108596068AActive Publication Date: 2018-09-28GUANGDONG UNIV OF TECH
4 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG UNIV OF TECH
Publication Date
2018-09-28

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The embodiment of the invention discloses an action recognition method and device. The method comprises the following steps that: utilizing a fuzzy feature extraction algorithm to extract a corresponding gesture vector from a video to be tested; utilizing a K-means clustering algorithm to carry out clustering analysis on the gesture vector to obtain a discretized action vector; and inquiring a pre-established action recognition model to determine an action type corresponding to the action vector. A fuzzy feature is applied for extraction to improve feature extraction speed through a K-means clustering processing way. On the basis of a minimum deviation algorithm of an approximate core extreme learning machine, an action recognition model is established, calculation complexity is lowered, and operation storage loss is reduced under a situation that high accuracy is kept. In addition, when action recognition is carried out, the action recognition model is directly inquired to determine the action type corresponding to the action vector, and action recognition efficiency is greatly improved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of video monitoring, in particular to a method and device for motion recognition. Background technique

[0002] With the development of artificial intelligence, the application of motion recognition technology is becoming more and more extensive, for example, human-computer interaction, augmented reality (Augmented Reality, AR), and intelligent visual surveillance. Taking intelligent visual monitoring as an example, it uses computer vision technology to process, analyze and understand video signals, and without human intervention, through automatic analysis of sequence images to locate, identify and track changes in the monitoring scene, On this basis, it can analyze and judge the behavior of the target object, and can issue an alarm or provide useful information in time when an abnormal situation occurs, effectively assisting security personnel to deal with crises, and minimizing false alarms and missed ala...

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