Unlock instant, AI-driven research and patent intelligence for your innovation.

Behavior discriminant analysis method by using feature grabbing function

A discriminant analysis and behavior technology, applied in the field of big data analysis, can solve the problem of matching the initial state and the result state correlation degree in areas where there is no crowded area, and achieve the effect of facilitating personnel grooming and personnel diversion, low consumption and small system resources.

Active Publication Date: 2018-10-16
山东旭兴网络科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In today's society, there are frequent exchanges of people. There are a large number of video surveillance equipment in crowded areas such as shopping malls, stations, and airports. In social life, the flow of people is dense and complex. It is necessary to plan reasonably the people and places entering and leaving the densely populated areas, and adopt corresponding management and configuration, so that the catering, transportation, and entrances and exits in the densely populated areas can be reasonably configured. When a large number of image features are acquired After information, it is impossible to carry out correlation matching between the initial state and the result state of the densely populated area for the reference sample, which urgently requires those skilled in the art to solve the corresponding technical problems

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
  • Behavior discriminant analysis method by using feature grabbing function
  • Behavior discriminant analysis method by using feature grabbing function
  • Behavior discriminant analysis method by using feature grabbing function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0030] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientations or positional relationships indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and It is not to indicate or imply that the device or element referred t...

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 present invention proposes a behavior discrimination and analysis method by using the feature grabbing function, which includes the following steps: S1, after judging the human body feature image and the face feature image according to the facial expression characteristic attribute value, the person leaving the crowded area Personnel are matched and collected, and the classifier is used to distinguish the area where the corresponding dense crowd arrives or the corresponding node to leave, and then push it to the terminal.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a method for behavior discrimination and analysis by using a feature capture function. Background technique [0002] In today's society, there are frequent exchanges of people. There are a large number of video surveillance equipment in crowded areas such as shopping malls, stations, and airports. In social life, the flow of people is dense and complex. It is necessary to plan reasonably the people and places entering and leaving the densely populated areas, and adopt corresponding management and configuration, so that the catering, transportation, and entrances and exits in the densely populated areas can be reasonably configured. When a large number of image features are acquired After information, it is impossible to perform correlation matching between the initial state and the result state of the densely populated area for the reference sample, which urgently requires those ...

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/174G06V40/20G06V20/53G06V10/507G06F18/22G06F18/24
Inventor 杨晓凡刘玉蓉
Owner 山东旭兴网络科技有限公司