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Laser radar human body gesture recognition method, electronic equipment and storage medium

A lidar and gesture recognition technology, applied in the field of gesture recognition, can solve the problems of gesture image contrast and sharpness, gesture recognition accuracy, etc., to avoid the influence of laser image quality and detection and recognition performance, improve image contrast and accuracy. Image quality, the effect of suppressing image noise

Pending Publication Date: 2021-09-21
湖南森鹰智造科技有限公司
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the gesture recognition of lidar images, the diverse and fixed background inside the locomotive has a great impact on the contrast and clarity of the gesture image, which has a great impact on the accuracy of gesture recognition.

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  • Laser radar human body gesture recognition method, electronic equipment and storage medium
  • Laser radar human body gesture recognition method, electronic equipment and storage medium
  • Laser radar human body gesture recognition method, electronic equipment and storage medium

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Embodiment 1

[0023] Such as figure 1 As shown, the lidar human body gesture recognition method of the present invention comprises the following steps:

[0024] Step S1. Using the laser radar to collect a depth image of the operator in the working state, the depth image is a laser image with the background of the workplace removed.

[0025] Wherein, the acquisition method of the depth image is based on the same laser radar, collecting the pure background image of the operator's workplace with the same pixels and the real-time image of the operator's working state, and then canceling the real-time image and the pure background image to obtain the depth image.

[0026] Wherein, the real-time image has n frames, and n is a positive integer greater than zero. In order to make all image data cancel under the same standard, each frame of real-time image before cancellation is normalized. Preferably, due to The dynamic range of the sample data after cancellation becomes smaller. In order to enha...

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PUM

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Abstract

The invention relates to a laser radar human body gesture recognition method, electronic equipment and a storage medium. The method comprises the following steps: acquiring a depth image of an operator in a working state by using a laser radar, wherein the depth image is a laser image of which the background of a working place is removed; and sending the depth image into a trained neural network for human body gesture recognition, and detecting and outputting a recognition result. According to the method, background removal processing is carried out on the laser radar image, fixed background target image interference is inhibited, the image contrast and the image quality of a locomotive personnel gesture target are improved, and the influence of a complex internal environment of a locomotive or differences of different types on the gesture target laser image quality and the detection and recognition performance is avoided; the method has the advantages of high background environment adaptability, high recognition rate and good adaptability.

Description

technical field [0001] The invention belongs to the field of gesture recognition, in particular to a laser radar human body gesture recognition method based on image cancellation preprocessing, electronic equipment, and a computer-readable storage medium. Background technique [0002] Due to heavy work intensity and high safety requirements, railway locomotive drivers are required to use various gestures to assist driving during locomotive driving. Standard gestures are an important guarantee to reflect the driver's concentration and ensure the safety of locomotives. Wrong gestures can reflect the poor driving state of the driver, which is very prone to safety accidents. To this end, effective technical means are needed for real-time recognition, monitoring and standardization judgment of the driving gestures of railway locomotive drivers. [0003] At present, lidar image human gesture recognition is an important implementation technology, which has the advantages of insens...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 石绍应李冠章唐少林吴杰伟冯勤群王亮周志伟周立和吴尚鸿蒋贤烨杨杰
Owner 湖南森鹰智造科技有限公司