Self-adaptive video monitoring method and device, storage medium and electronic equipment

CN119520733APending Publication Date: 2025-02-25JIANGMEN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO LTD +1
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Patent Information

Application Number
CN202411631555.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-15
Publication Date
2025-02-25

AI Technical Summary

Technical Problem

In the prior art, the video surveillance terminal of the security monitoring system cannot automatically track and monitor, and needs to rely on the backend to manually adjust the lens, resulting in most video images not being able to capture the work images in time and the picture clarity is low.

Method used

By acquiring real-time image data, the target detection algorithm is used to detect and identify the target object, and the position information and imaging area of ​​the target object are obtained. Then, the distance estimation algorithm is used to determine the target distance between the target object and the image acquisition device, and adjust the operating parameters of the image acquisition device according to the distance offset or the change in the imaging area to automatically track and adjust the monitoring angle and focal length.

Benefits of technology

It realizes automatic tracking and monitoring of video surveillance terminals, improves the timely capture rate and clarity of video images at the work site, reduces the need for manual adjustment of lenses, and saves labor costs and time.

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Abstract

The invention provides a self-adaptive video monitoring method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining real-time image data, carrying out the detection and recognition through a target detection algorithm, and obtaining the position information and imaging area of a target object; determining a target distance between the target object and the image acquisition equipment by adopting a distance estimation algorithm according to the position information of the target object and the initial operation parameters of the image acquisition equipment; according to the offset of the target distance, adjusting the operation parameter of the image acquisition equipment to obtain a first target operation parameter, and / or according to the current imaging area of the target object, adjusting the operation parameter of the image acquisition equipment to obtain a second target operation parameter; and controlling an image acquisition device to acquire target image data by adopting the first target operation parameter and / or the second target operation parameter so as to monitor the target object. The method can help safety supervision personnel to effectively supervise a working site, and improves the accuracy of a safety supervision intelligent algorithm.
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Citation Information

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