Computer-vision-based security detection method

A technology of computer vision and safety inspection, applied in the field of image recognition, can solve the problems of persistence and high precision of safety inspection requirements, achieve high recognition rate, reduce changes, and have good generalization ability

Inactive Publication Date: 2016-11-23
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a detection method combining computer vision and deep learning, which is used to solve the problem of persistence and high precision of current security detection requirements

Method used

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Embodiment Construction

[0031] The specific embodiment of the present invention will be further described in detail in conjunction with the accompanying drawings. The security detection method based on computer vision proposed by the present invention first collects image information of the detection area in real time through a camera, and then performs gradient calculation on each pixel of the captured image. Use the trained support vector machine SVM classifier to traverse the entire image to obtain the information of the image position of the pedestrian, intercept the upper part of the pedestrian image, and input it into the trained convolutional neural network to obtain the final security The result of behavior recognition.

[0032] Method flow:

[0033] The present invention assumes that the daily pedestrians on the construction site include two states, one is wearing the helmet correctly, and the other is not wearing the helmet correctly, wherein, not wearing the helmet correctly includes hold...

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Abstract

The invention discloses a computer-vision-based security detection method, which is used for meeting the requirements of current security detection on persistence and high accuracy. The method comprises the following steps: performing original image gray processing on original video data, performing color space standardization on an input image, and regulating the contrast of the image to reduce the influence of a local shadow of the image and an illumination change and suppress the interference of noise; describing characteristics of a pedestrian by virtue of a gradient histogram, classifying by combining an SVM (support vector machine), analyzing a behavior of the pedestrian by virtue of deep learning after the pedestrian is found out, and sending security alarming information if the behavior of the pedestrian is inconsistent with a security specification. According to the method, existing hardware equipment can be fully utilized, so that changes in an original system are maximally reduced. Moreover, more image details can be understood by deep learning, so that a higher recognition rate is achieved. A deep learning neural network is less sensitive to the environment, light and noise, and can run in each environment after being trained once, so that high generalization capability is achieved.

Description

technical field [0001] The invention relates to an image recognition method, belongs to the application technical field of behavior recognition based on computer vision, and aims to obtain stable and accurate detection results. Background technique [0002] Security detection technology is an emerging technology that uses computer systems to replace manual target detection. The process of security detection is that the computer obtains the video and processes and analyzes the video information to find independent targets in the video image. The location of the target area is detected and marked in the video. Visual understanding is an important processing link in computer vision systems. Computer vision involves many fields such as image processing, machine learning, and pattern recognition. Its ultimate goal is to simulate human visual ability and complete recognition tasks. In academia, many scholars from research institutions such as MIT, ETH Zurich, WSU, Intel, and Mic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/60G06K9/62G06N3/02
CPCG06N3/02G06V20/53G06V10/507G06V10/20G06F18/24
Inventor 周宁宁石少东
Owner NANJING UNIV OF POSTS & TELECOMM
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