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Human body target detection method and device, computer equipment and storage medium

A technology of human body target and detection method, which can be applied to measurement devices, radio wave measurement systems, instruments, etc., and can solve problems such as difficulty in detecting human body targets.

Active Publication Date: 2021-05-11
SHENZHEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention proposes a human body target detection method, device, computer equipment and storage medium to solve the problem of difficulty in detecting tiny moving human body targets when environmental factors are greatly disturbed

Method used

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  • Human body target detection method and device, computer equipment and storage medium
  • Human body target detection method and device, computer equipment and storage medium
  • Human body target detection method and device, computer equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0089] figure 1 It is a flow chart of a human target detection method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where a human body classifier is trained for collecting radar wave signals when there is no one in the space. This method can be implemented by a human target detection device Execution, the human object detection device can be implemented by software and / or hardware, and can be configured in computer equipment, such as computers, servers, workstations, etc., specifically including the following steps:

[0090] S110. Driving the radar to transmit a sample radar wave signal into a space where no human body exists, and receive a sample radar wave signal reflected by the space.

[0091] In this embodiment, the so-called space refers to the range of space in which the human body can move, which can be indoor space, such as classrooms, offices, halls, etc., or outdoor space, such as playgrounds, intersections, statio...

Embodiment 2

[0128] figure 2 It is a flow chart of a human object detection method provided by Embodiment 2 of the present invention. This embodiment is based on the foregoing embodiments, and further refines the operation of applying a human body classifier to detect a human body object. The method specifically includes the following steps:

[0129] S210. Determine a human body classifier for training in a space.

[0130] When detecting human objects in a certain space, it is possible to detect whether there are human objects in the space based on the human classifier trained in the space. The so-called space refers to the range of space in which the human body can move. It can be an indoor space, such as Classrooms, offices, foyers, etc., can also be outdoor spaces, such as playgrounds, intersections, stations, etc. In this embodiment, the human body classifier that has been trained in Embodiment 1 can be used as a determined human body classifier to detect human body objects.

[0131...

Embodiment 3

[0166] image 3 A structural block diagram of a human object detection device provided in Embodiment 3 of the present invention may specifically include the following modules:

[0167] A human body classifier determining module 301, configured to determine a human body classifier trained for a space;

[0168] The radar driving module 302 is used to drive the radar to transmit the target radar wave signal into the space, and receive the target radar wave signal reflected by the space;

[0169] A target radar wave signal filtering module 303, configured to perform filtering processing on the target radar wave signal;

[0170] A target threshold value calculation module 304, configured to calculate a target threshold value adapted to the target radar wave signal according to the distribution information of a plurality of consecutive target radar wave signals if the filtering process is completed;

[0171] A target peak signal screening module 305, configured to screen effective...

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Abstract

The embodiment of the invention provides a human body target detection method and device, computer equipment and a storage medium, and the method comprises the steps: determining a human body classifier for space training, driving a radar to transmit a target radar wave signal to a space, receiving the target radar wave signal reflected by the space, and carrying out the filtering processing of the target radar wave signal; the interference of strong clutters in the space is eliminated, and the signal-to-noise ratio of signals is increased; if the execution of the filtering processing is completed, a target threshold value matched with the target radar wave signals is calculated according to the distribution information of the plurality of continuous target radar wave signals, and effective target wave crest signals are screened from the target radar wave signals according to the target threshold value, so that the accuracy of feature extraction is improved; according to the method, features of at least one dimension of quantity, bandwidth and energy are extracted from the target wave crest signal to serve as target signal features, and the target signal features are input into the human body classifier to identify the existence state of the human body in the space, so that the accuracy of a detection result is ensured.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of radar detection, and in particular, to a human target detection method, device, computer equipment, and storage medium. Background technique [0002] With the rise and development of smart cities, smart buildings, smart security, and smart homes, intelligent basic data detection has become one of the core keys. The human body is the main body of social activities, and its target detection is the most important thing in the process of intelligence. [0003] Traditional human target detection methods generally use cameras, infrared sensors, radio frequency identification devices, wireless fidelity signals, etc. to achieve target detection. However, camera-based human target detection methods are vulnerable to environmental factors such as light, weather, temperature, and dust. Affected, resulting in a decline in the quality of the received signal, increasing the difficulty of human ta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/04G01S7/41
CPCG01S13/04G01S7/411G01S7/414G01S7/417Y02A90/10
Inventor 阳召成周建华
Owner SHENZHEN UNIV
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