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Camera picture detection method and device, electronic equipment and readable storage medium

A picture detection and camera technology, applied in TV, electrical components, image communication, etc., can solve problems such as inaccurate judgment and image area detection that affects ROI

Active Publication Date: 2020-12-04
BEIJING KUANGSHI TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, for rotatable surveillance cameras, it is easy to be inaccurate in judging whether there are abnormal changes in the image of the surveillance camera due to environmental factors, thus affecting the detection of the ROI map area

Method used

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  • Camera picture detection method and device, electronic equipment and readable storage medium
  • Camera picture detection method and device, electronic equipment and readable storage medium
  • Camera picture detection method and device, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0082] Please refer to figure 1 , the embodiment of the present application provides an electronic device 10, which can accurately determine whether the camera has relatively abnormal changes at two shooting time points without using sensors such as displacement sensors and gyroscopes to measure whether the position or angle changes. .

[0083] The electronic device 10 may be, but not limited to, a personal computer (Personal Computer, PC), a mobile Internet device (Mobile Internet Device, MID), a server, and the like.

[0084] In this embodiment, the electronic device 10 may include a processing module 11 and a storage module 12 coupled to each other. A computer program is stored in the storage module 12. When the computer program is executed by the processing module 11, the electronic device 10 can execute the following camera Steps in the picture detection method.

[0085] In this embodiment, the electronic device 10 may also include other modules. For example, the elect...

Embodiment approach

[0111] As an optional implementation, the method may also include:

[0112] If there is no first reference image corresponding to the camera, then according to the degree of matching between the current image and the second reference image, it is judged that when the camera captures the current image relative to when the second reference image is captured whether any abnormal changes have occurred;

[0113] If there is an abnormal change relative to when the second reference image is taken, counting the number of camera abnormalities;

[0114] If there is no abnormal change compared to when the second reference image is taken, then use the current image as the first reference image, wherein the initial value of the second reference image is the first reference image taken when the region of interest is initialized The image within the field of view of the camera.

[0115]If the first reference image is cleared after a detection cycle ends or before a new detection cycle star...

no. 2 example

[0145] Please refer to Figure 5 , the embodiment of the present application also provides another camera image detection method, which can be applied to the above-mentioned electronic device 10 . The method may include steps S310 to S340, as follows:

[0146] Step S310, within a preset detection period, acquire a current image captured by the camera at a preset detection frequency, for detecting abnormal changes of the camera at the preset detection frequency;

[0147] Step S320, according to the degree of matching between the current image and the target reference image, it is judged whether abnormal changes have occurred when the camera captures the current image relative to the target reference image; the target reference image is the first reference image or a second reference image;

[0148] Step S330, if there is an abnormal change relative to the shooting of the target reference image, counting the number of camera abnormalities;

[0149] Step S340, if there is no a...

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Abstract

The invention provides a camera picture detection method and device, electronic equipment and a readable storage medium, and relates to the technical field of computer image processing. The method comprises the following steps: acquiring a current image shot by a camera at a preset detection frequency in a preset detection period; if the first reference image corresponding to the camera exists, according to a matching degree of the current image and the first reference image, determining whether abnormal change occurs when the camera shoots the current image relative to a condition that when the camera shoots the first reference image; if the abnormal change occurs relative to the shooting of the first reference image, counting abnormal times of the camera; and updating the first referenceimage with the current image if the abnormal change does not occur with respect to the shooting of the first reference image. According to the scheme, the updatable reference image is used as a basisfor judging whether the camera is abnormally changed or not, and the counting mode of camera abnormity is combined so that the accuracy for judging whether the camera picture is abnormally changed ornot is improved.

Description

technical field [0001] The present invention relates to the technical field of computer image processing, in particular to a camera image detection method, device, electronic equipment and readable storage medium. Background technique [0002] Video surveillance is an integral part of the security system, through the surveillance video captured by one or more surveillance cameras to achieve security surveillance. Among them, the captured surveillance video can be used for analysis and processing of downstream tasks. For example, when using deep learning to analyze urban governance issues based on surveillance videos based on roads, vehicles, and people, users usually need to draw the Region Of Interest (ROI) in the surveillance videos according to certain rules, so as to To analyze and process the ROI image area such as detection and recognition, it is necessary to determine whether the image in the corresponding area has abnormal changes due to occlusion or camera rotation...

Claims

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Application Information

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IPC IPC(8): H04N17/00
CPCH04N17/002
Inventor 杨凯周恒
Owner BEIJING KUANGSHI TECH