An action recognition method and its recognition system
An action recognition and action technology, applied in the field of action recognition, can solve problems such as prediction errors, action analysis errors, and action recognition that cannot be classified too much
Active Publication Date: 2021-08-20
上海识装信息科技有限公司
View PDF11 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, in the traditional effective analysis process, it is not possible to quickly and effectively identify actions with too many classifications, so there may be errors in action analysis or prediction errors.
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0022] The technical solutions in the embodiments of the present application are clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.
[0023] This application is an action recognition method and its recognition system. According to this application, the meta-action information is processed before action recognition, the action collection and action recognition are modeled, and the Wiener process and class are used according to the characteristics of human action. The Markov algorithm screens weak information, and then uses the principle of information entropy to filter weak information, eliminate weak information in...
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
Login to View More Abstract
The present application discloses an action recognition method and its recognition system, wherein the action recognition method specifically includes the following steps: collect at least one action, decompose the action, and determine the meta-action; perform preprocessing on the meta-action, and remove weak information in it ; The determination of the meta-action includes establishing a coordinate system according to the original action, dividing the collected action into multiple quadrants, when a new action occurs, determining the quadrant where the new action is located and the trajectory of the new action, according to the new quadrant and the new The motion trajectory of an action determines the meta-action. The action recognition method and its recognition system provided by this application can use the principle of information entropy to filter weak information, eliminate weak information in meta-action sequences, and integrate information in meta-action sequences, thereby avoiding classification in recognition There are too many problems, thereby improving the accuracy and efficiency of recognition.
Description
technical field [0001] The present application relates to the field of action recognition, and in particular, relates to an action recognition method and a recognition system thereof. Background technique [0002] In the natural world, people manipulate objects through touch and express their will through gestures. We hope that humans can interact with computers in the same way. Therefore, the research on "multi-dimensional machine vision motion perception" must first study how to collect three-dimensional motions of the human body, then process the collected complex information, identify effective motions, and finally judge effective motions and analyze the human body. intention of. However, in the traditional effective analysis process, it is not possible to quickly and effectively identify actions with too many classifications, so that action analysis errors or prediction errors may occur. Contents of the invention [0003] The purpose of this application is to proce...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06F18/295
Inventor 骞一凡
Owner 上海识装信息科技有限公司