Portrait file gathering method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a portrait file gathering method and device based on multi-dimensional data, electronic equipment and a storage medium. The method comprises the steps that a to-be-processed data stream in a target time period is acquired; performing target detection on an image frame obtained by decoding the data stream to obtain a target face feature data set and a target human body feature data set; performing file gathering on the target face feature data set to obtain each face file, and performing file gathering on the target human body feature data set to obtain each human body file; based on the incidence relation data, combining each face file and each human body file to obtain each portrait file; wherein the association relationship data is an association relationship between each piece of face feature data in the target face feature data set and each piece of human body feature data in the target human body feature data set. And the file gathering accuracy and recall rate are improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a method, device, electronic equipment and storage medium for aggregating portraits based on multi-dimensional data. Background technique [0002] With the continuous development of social security construction, the use of face bayonet cameras is increasing, and the demand for identity capture of face pictures is also becoming stronger and stronger. Through face recognition and face clustering technology, identity landing has become a new hot spot in the security field. [0003] In related technologies, one way is to only mine structured data, such as name, ID number, license plate number, etc., to analyze the user's permanent residence and fellow travelers, etc., but the massive unstructured data in city snapshots cannot be used. Another approach is to use unstructured data to cluster face feature data. Due to factors such as face picture shooting angles a...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, one way is to only mine structured data, such as name, ID number, license plate number, etc., to analyze the user's resident location and peers, etc., but it is impossible to use the massive unstructured data in city snapshots

Another approach is to use unstructured data to cluster face feature data. Due to factors such as face picture shooting angles and picture quality, face pictures of the same person may not be merged into the same file, and then The accuracy and recall rate of the clustered files are low

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