Video data processing method, device, equipment and computer readable storage medium
By calculating the mapping matrix to update the target pixel point in the continuity recognition technology, the recognition failure problem when the recognition area is blocked or there are no obvious features is solved, and the accuracy of the recognition is improved.
CN114565872BActive Publication Date: 2025-03-28TENCENT TECHNOLOGY (SHENZHEN) CO LTD
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Patent Information
- Application Number
- CN202210177567.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-02-25
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2042-02-25
AI Technical Summary
Technical Problem
The existing continuous recognition technology cannot effectively identify the recognition area when it is blocked or has no obvious features, resulting in the recognition failure.
Method used
By acquiring the image frames in the pending video data, the target pixel points in the reference image frame that are located in the same plane as the preset identification pixel points, and the mapping matrix is calculated based on these target pixel points and their matching pixel points, and the target pixel points in the pending image frame is updated.
Benefits of technology
The accuracy of continuous recognition is improved, and correct recognition can be achieved even if the recognition pixel points are blocked or part of the plane they are located is blocked.
✦ Generated by Eureka AI based on patent content.
Abstract
The present application provides a video data processing method, device, equipment and computer-readable storage medium; the method includes: obtaining an image frame to be processed in the video data to be processed, and determining a reference image frame corresponding to the image frame to be processed; determining a first target pixel point in the reference image frame that is located in the same plane as the identified pixel point, and obtaining a first matching pixel point in the image frame to be processed that corresponds to the first target pixel point; based on the first target pixel point and the first matching pixel point, determining a first mapping matrix between the reference image frame and the image frame to be processed; based on the first mapping matrix and the first target pixel point, determining a second target pixel point in the image frame to be processed that is located in the same plane from the first matching pixel point; updating the next image frame of the image frame to be processed to the image frame to be processed, and continuing to determine a second target pixel point in the same plane in the updated image frame to be processed. Through the present application, the accuracy of continuous recognition can be improved.
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