Human and non-human object identification method based on PIR (Pyroelectric Infrared) detector

A recognition method and detector technology, applied in character and pattern recognition, instruments, and alarms that rely on interference with short-wavelength radiation, etc., can solve problems in the initial stage, with high algorithm complexity, and few PIR signal feature extraction methods, etc. problem, to achieve the effect of reducing false positives, simple algorithm steps, and avoiding signal non-stationarity problems

Active Publication Date: 2014-12-03
CHONGQING UNIV
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the time-domain analysis method, such as the peak-finding algorithm, is greatly affected by the randomness of the PIR signal, and its reliability is very low; the frequency-domain analysis method, such as performing FFT transformation on the PIR signal to obtain the The lack of time-domain features of the signal leads to a low recognition rate of people and non-humans; wavelet analysis is a typical time-frequency domain analysis method, which first transforms the PIR signal from the time domain to the wavelet domain, and then extracts the time

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 and non-human object identification method based on PIR (Pyroelectric Infrared) detector
  • Human and non-human object identification method based on PIR (Pyroelectric Infrared) detector
  • Human and non-human object identification method based on PIR (Pyroelectric Infrared) detector

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0023] figure 1 It is an overall flow chart of the present invention, including the following two parts:

[0024] Part 1: Establish a human and non-human detection model to analyze the difference between human and non-human PIR signals. The specific content is as follows:

[0025] Based on the universal PIR detector, combined with the characteristics of human and non-human shape differences, the present invention establishes a human and non-human detection model such as figure 2 shown. With the help of this model, in theory, the difference between human and non-human PIR signals can be qualitatively and quantitatively analyzed, the specific content is as follows:

[0026] First, according to the size of the human body (effective wide radiation surface width W1 and height H1) and the size parameters of the light and dark areas of the PIR detector, it is obtai

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 and non-human object identification method based on a PIR (Pyroelectric Infrared) detector, belongs to the technical fields of digital signal processing and mode identification, and particularly relates to infrared intrusion application in a security system. The core thought is based on a general PIR detector, a human and non-human object detection model is established in combination with the characteristic of a bodily form difference between a human and a non-human object, a theoretical basis is laid for the analysis of a signal difference between the human and the non-human object, and a PIR signal characteristic extraction method applicable to human and non-human object identification is provided technically. The PIR signal characteristic extraction method comprises the following steps: 1, performing de-noising and normalization preprocessing on a PIR signal; 2, computing the zero-cross rate of the preprocessed PIR signal; 3, performing first-order difference processing on the preprocessed PIR signal, performing AR (Automatic Regression) model analysis, and solving the regression coefficient of a model by using a Marple algorithm; and 4, applying the zero-cross rate obtained in the step 2 and the regression coefficient obtained in the step 3 to human and non-human object identification as characteristic descriptions of the PIR signal. Lastly, as proved by experiments, the method has high reliability in human and non-human object identification.

Description

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

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
Owner CHONGQING UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap