Target object identification method and device, equipment and storage medium

By constructing a heterogeneous graph of attribute features and base library features in the target object motion trajectory and updating the initial connection relationship, the problem of low accuracy of target object recognition in the prior art is solved, and higher recognition accuracy is achieved.

CN119723139AActive Publication Date: 2025-03-28BEIJING ZITIAO NETWORK TECH CO LTD
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Patent Information

Application Number
CN202311280241.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-28
Publication Date
2025-03-28
Estimated Expiration
2043-09-28

AI Technical Summary

Technical Problem

In the prior art, in the recognition of target objects, the recognition accuracy rate is not high due to the variable environment and uneven video frame quality.

Method used

By obtaining the target object motion trajectory in the target video, extracting multiple attribute features, and building a heterogeneous graph between the attribute features and the pre-stored base library features, updating the initial connection relationship to determine the matching result, thereby identifying the target object.

Benefits of technology

The recognition accuracy of the target object is improved, and the problem of inaccurate recognition results due to poor quality of a single video frame is avoided. The accuracy of recognition is improved through the comprehensive description of multiple attribute features and heterogeneous map matching.

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Abstract

The invention provides a target object recognition method and device, equipment and a storage medium, and the method comprises the steps: obtaining a target video, and recognizing the motion trails of one or more target objects in the target video; extracting a plurality of attribute features of the target object from the motion trail of the target object, and constructing a heterogeneous graph between the attribute features of the target object and pre-stored base library features; wherein the attribute features and the base library features serve as nodes in the heterogeneous graph, and part of the nodes have an initial connection relation; and updating the initial connection relationship in the heterogeneous graph, determining a matching result of each attribute feature of the target object in the base library feature based on the updated connection relationship between the nodes, and identifying the target object according to the matching result. According to the technical scheme provided by the invention, the recognition accuracy of the target object can be improved.
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