Computer-vision-based security detection method

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...

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

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