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Method for extracting and differentiating human body heat source features of infrared pyroelectricity wavelet packet energy

A technology of infrared pyroelectricity and feature extraction, which is applied in the direction of electric radiation detectors, can solve the problems that cannot be realized at the same time

Inactive Publication Date: 2014-04-16
TIANJIN UNIV
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  • Summary
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Problems solved by technology

Although PIR detectors have achieved some results in the detection of human and non-human heat sources, they cannot simultaneously detect large-scale, stationary infrared heat sources and achieve the goal of a high single feature recognition rate.

Method used

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  • Method for extracting and differentiating human body heat source features of infrared pyroelectricity wavelet packet energy
  • Method for extracting and differentiating human body heat source features of infrared pyroelectricity wavelet packet energy
  • Method for extracting and differentiating human body heat source features of infrared pyroelectricity wavelet packet energy

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Embodiment Construction

[0043] Since heat sources of different shapes will generate different signals when they pass through the PIR detection range, this provides a theoretical basis for using pyroelectric sensors to detect human and non-human bodies. Accordingly, a single PIR detector with a Fresnel lens is driven by a stepping motor to rotate at a constant speed to realize long-distance, 360-degree wide-range, and stationary object detection. The detection range is a disc with a radius of 7.4 meters. There is a blind area with a radius of 0.9 meters at the detection origin. Perform wavelet packet analysis on the collected samples of human and non-human heat sources, and use the wavelet packet energy of the signal as the signal feature, and then use the BP neural network to perform 5-fold cross-validation, thereby completing the distinction between human and non-human heat sources, and realizing the human body discrimination. The structural block diagram of this design is as follows:

[0044] 1 ...

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Abstract

The invention belongs to the technical field of human body differentiation and provides a method for extracting and differentiating human body heat source features of infrared pyroelectricity wavelet packet energy. According to the method, the purposes of detection within a 360-degree large-scale range and with a long distance and detection of a static infrared heat source are achieved and the problems that the comfort and the energy-saving performance in an intelligent air conditioner conflict and the false alarm rate in a safety supervision system is high are effectively solved. Thus, according to the technical scheme, the method for extracting and differentiating the human body heat source features of infrared pyroelectricity wavelet packet energy comprises the following steps that a single pyroelectricity infrared detector is driven by a stepping motor to rotate at a constant speed, so that detection of a static object at the long distance and within 360-degree large-scale range is achieved; the detection range is within a disc, wavelet packet analysis is conducted on a collected sample of the human body heat source and a collected sample of a non-human-body heat source, wavelet packet energy serves as a feature of a signal, 5-folding-time cross validation is conducted through a BP neural network, and therefore the human body heat source and the non-human-body heat source are differentiated. The method for extracting and differentiating the human body heat source features of infrared pyroelectricity wavelet packet energy is mainly applied to occasions of the human body differentiation technology.

Description

technical field [0001] The invention belongs to the technical field of human body discrimination. That is, the method of using pyroelectric infrared detectors to distinguish between human and non-human heat sources. Specifically, it involves a feature extraction and discrimination method for human body heat sources based on infrared pyroelectric information. Background technique [0002] Human body discrimination technology research has great application value and research significance. On the one hand: In recent years, people have become more and more interested in smart homes, and some of the control products of smart homes have become household appliances, and some are becoming household appliances. As an indispensable part of home appliances, air conditioners have experienced a stage of rapid development in the past ten years. Both comfort and energy saving have become important indicators of high-end consumer products such as air conditioners. Through the detection ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/12
Inventor 刘永敬明东李佳佳何峰周鹏綦宏志万柏坤
Owner TIANJIN UNIV
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