Intelligent monitoring gesture recognition method and device, equipment and storage medium

A gesture recognition and intelligent monitoring technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as server crashes and inability to issue alarms in time, and achieve the effect of improving efficiency and practical significance.

Pending Publication Date: 2021-09-17
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Sometimes there may even be a server crash, resulting in the failure to issue an alarm in time

Method used

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  • Intelligent monitoring gesture recognition method and device, equipment and storage medium
  • Intelligent monitoring gesture recognition method and device, equipment and storage medium
  • Intelligent monitoring gesture recognition method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] see Figure 1 to Figure 6 , the security monitoring method provided by the first embodiment of the present invention can be executed by a security monitoring device, in particular, by one or more processors in the security monitoring device, so as to realize steps S1 to S4.

[0065] S1. Receive multiple surveillance videos from different angles of the target area.

[0066] Specifically, the security monitoring device is electrically connected to the monitoring system in the target area, and can receive and analyze the monitoring images captured by the monitoring system. like figure 2 As shown, the monitoring system has at least three cameras installed in the target area, and the cameras are installed at a place higher than 2.5m above the bottom surface, so that the angle between the shooting angle of the camera and the portrait in the target area is not greater than 45°. At least three cameras are arranged at different angles of the target area.

[0067] It should b...

Embodiment 2

[0132] Embodiment 2. The embodiment of the present invention provides a safety monitoring device, which includes:

[0133] The video module 1 is used to receive multiple surveillance videos from different angles of the target area.

[0134] The image module 2 is used to obtain image sequences of each person in the target area according to a plurality of surveillance videos.

[0135] The coefficient module 3 is used to obtain the body posture, facial expression sequence and gesture sequence of each character according to the image sequence, and perform regression analysis to obtain the safety factor of each character.

[0136] The level module 4 is used to generate the corresponding security alarm level according to each security factor.

[0137] Optionally, the image module 2 specifically includes:

[0138] The skeleton unit is used to obtain skeleton information from different angles of each person in the target area through the OpenPose model according to mul...

Embodiment 3

[0177] Embodiment 3. An embodiment of the present invention provides a security monitoring device, which includes a processor, a memory, and a computer program stored in the memory. The computer program can be executed by the processor to implement the security monitoring method as described in the first aspect.

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Abstract

The embodiment of the invention provides a gesture recognition method and device for intelligent monitoring, equipment and a storage medium, and relates to the technical field of intelligent monitoring. The gesture recognition method comprises the following steps: S3C0, collecting an image sequence; wherein the image sequence comprises a target person. And S3C1, constructing an object detection model based on the terminal lightweight neural network model. And S3C2, extracting a hand image in the image sequence through the object detection model, and generating a hand image sequence according to the time of the image sequence. And S3C3, according to the hand image sequence, performing classification through an image classification model to obtain a gesture sequence. According to the method, the image of the hand is extracted from the image sequence through the object detection model, and then the action of the hand is recognized by using the image classification model, so that the gesture recognition efficiency is greatly improved, and the method has good practical significance.

Description

technical field [0001] The present invention relates to the technical field of intelligent monitoring, and in particular, to a gesture recognition method, device, device and storage medium for intelligent monitoring. Background technique [0002] In order to detect accidents of the elderly or children in time, cameras are often installed in places where the elderly and children are active for real-time shooting. At the same time, in order to know whether the elderly or children have an accident in a more timely manner, the pictures captured by the camera will be analyzed in real time through local servers, cloud servers and other devices, and an alarm will be generated to notify the relevant personnel when it is judged that the target person has an accident. [0003] In particular, in the prior art, it can be determined whether the target person has an accident by analyzing the hand movements of the person in the surveillance video. Because the human hand is more flexible. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/02
CPCG06N3/02G06F18/214
Inventor 崔子栋吴毳李津轩姜峰
Owner HUAQIAO UNIVERSITY
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