Detection frame adjustment method and device for target detection algorithm and storage medium

By comparing the image characteristics of the detection box of the object detection algorithm in the historical frame and the current frame, the detection box is adjusted to achieve a smoother transition, which solves the problem that the detection box is instability affects computer vision applications and improves the stability and continuity of the detection box.

CN119723011APending Publication Date: 2025-03-28ZTE CORP
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Patent Information

Application Number
CN202311282716.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-28
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

In non-still images, the detection box of the object detection algorithm is prone to instability, resulting in excessive changes in the image features selected by the box, affecting the effect of subsequent computer vision applications.

Method used

In the object detection algorithm, the image features selected by the detection box in the history frame and the current frame are compared, the change differences are evaluated, and the detection box of the current frame is adjusted with the box selection area corresponding to the history frame as a reference to achieve a smoother transition.

Benefits of technology

It improves the stability and continuity of the detection frame, reduces the changes in the box-selected image features, and improves the effect of subsequent computer vision applications.

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Abstract

The invention provides a detection frame adjustment method and device for a target detection algorithm and a storage medium. The method comprises the following steps: when target detection is carried out based on a target detection algorithm, obtaining a first image feature corresponding to a historical frame and a second image feature corresponding to a current frame of a detection frame of the target detection algorithm; wherein the frame number of the interval between the historical frame and the current frame is not greater than a preset frame value. And determining a comparison result between the first image feature and the second image feature. And by taking the first frame selection area corresponding to the historical frame as a reference, adjusting the detection frame in a second frame selection area corresponding to the current frame based on the adjustment degree matched with the comparison result. The stability of the detection frame can be improved in the target detection process, so that the influence of disordered jumping of the detection frame on subsequent computer vision application is improved.
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