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A method for automatically positioning coordinates of scenes in real-time video fixed track inspection

A real-time video, automatic positioning technology, applied in the fields of information technology and automation, can solve the problems of video positioning accuracy, which is difficult to ensure high recognition, achieve visualization, facilitate massive video processing, and enrich video content.

Active Publication Date: 2021-05-07
成都川江信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. The monitoring environment, such as light and video effects, have a great influence on the accuracy of video positioning
[0005] 2. For different scenarios, it is necessary to learn repeatedly through machine recognition to establish a new model, and it is difficult to guarantee a high degree of recognition in a short time

Method used

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  • A method for automatically positioning coordinates of scenes in real-time video fixed track inspection
  • A method for automatically positioning coordinates of scenes in real-time video fixed track inspection
  • A method for automatically positioning coordinates of scenes in real-time video fixed track inspection

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Embodiment

[0069] A method for automatically positioning the coordinates of the scene in the real-time video fixed track inspection in this embodiment includes the following steps:

[0070] The first step is to obtain the MSE parameters.

[0071]MSE (Motion state of equipment) and equipment motion state, including start time, stop time, travel time, turning angle, travel direction, speed, acceleration and slope.

[0072] Obtain MSE parameters: start time T0, stop time Tn, travel time t, travel direction (forward: U, backward: D), turning angle (α, α=0-360°), velocity v, acceleration a and slope p.

[0073] One way of obtaining the MSE parameter is: obtaining from a fixed track inspection device.

[0074] One way to obtain the MSE parameters is: each time the inspection equipment is restarted, set an initial state MSE for the inspection equipment and save it, obtain the MSE parameters, and update the MSE synchronously when the inspection equipment is in motion, and record it as Current ...

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Abstract

The invention discloses a method for automatically locating coordinates of a scene in real-time video fixed track inspection, comprising: S1, obtaining MSE parameters; S2, determining the coordinates of the video display area, taking the scene to be obtained as a reference object and aligning it manually Carry out calibration, obtain the coordinates of the reference object, and record the travel time; S3. According to the obtained MSE parameters, perform steps A and B at the same time; A. Calculate the matching relationship between the mobile MSE of the inspection equipment and the scene coordinates in the screen video, and determine the scene in the screen video The coordinates are marked and stored, and the scene coordinates are continuously updated to realize the scene tracking display; B. Calculate the matching relationship between the mobile MSE of the inspection equipment and the coordinates of the screen video display area, call the running time of the inspection equipment, and determine the real-time video display area of ​​the screen; S4. Scene coordinate annotation and display in the video. The invention occupies few hardware resources, is convenient for massive video processing, is not affected by image quality and illumination conditions, and has high accuracy.

Description

technical field [0001] The invention belongs to the fields of information technology and automation technology, and in particular relates to a method for automatically positioning coordinates of a scene in real-time video fixed track inspection. Background technique [0002] Video recognition technology mainly includes three links: front-end video information collection and transmission, intermediate video detection, and back-end analysis and processing. Video recognition requires the front-end video capture camera to provide a clear and stable video signal, and the quality of the video signal will directly affect the effect of video recognition. After video recognition, determine the position of the scene on the display screen and then perform standardization. [0003] However, the existing video recognition technology has the following defects: [0004] 1. The monitoring environment, such as light and video effects, have a great influence on the accuracy of video positio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C11/00H04N7/18
CPCG01C11/00G01C11/36H04N7/18
Inventor 李晓倩庾农韩彦向子荣侯睿常乐邓博杨董笑宇
Owner 成都川江信息技术有限公司
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