Method and device for dynamically updating face feature base library and face snapshot system

Abstract

The invention discloses a method and device for dynamically updating a human face feature base library and a human face snapshot system, and the method comprises the steps: obtaining the current snapshot human face information and each piece of human face information stored in the human face feature base library when the human face information of the human face feature base library starts to be updated; comparing the face feature information of the currently captured face information with the face feature information of the face information in a face feature base library one by one to generateface similarity; when the face similarity is smaller than or equal to a preset minimum similarity threshold, adding and storing the currently captured face information into a face feature base library; and when the face similarity is greater than a preset minimum similarity threshold value and a preset maximum similarity threshold value at the same time, replacing the face information stored in the face feature base library with the currently captured face information. According to the technical scheme, the face feature base library information can be automatically updated, and the quality offace photos stored in the face feature base library and the real-time performance of updating are improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and device for dynamically updating a face feature database, a face capture system, computer equipment and a storage medium. Background technique [0002] In the existing face capture system, the specified personnel are manually photographed in advance, and the standard face photos, feature information and identity information are stored in the face feature base library to realize the initialization of the static face feature base library; Point, after the camera captures the real-time face information, it searches in the face feature base database, compares the feature information, and matches the face feature base database photos as a kind of identification. For the face capture system in the actual application of multi-channel face capture camera cascade, the static face feature base database is initialized and loaded, and the back-end platform is reli...

AI Technical Summary

Problems solved by technology

For the face capture system in the actual application of multi-channel face capture camera cascade, the static face feature base library is initialized and loaded, and the back-end platform is relied on to manually collect and load the face feature base library information, resulting in the update of the face feature base library Low real-time performance, human resource consumption, and high production costs

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