Living body discrimination method and device based on thermal imaging, equipment and storage medium

Abstract

The embodiment of the invention discloses a living body discrimination method and device based on thermal imaging, equipment and a storage medium. The method comprises the following steps: acquiring atarget image, wherein the pixel value of each pixel point of the target image is a temperature value; determining a target feature vector corresponding to the target image according to the target image, the target feature vector being used for indicating a pixel value of each pixel point; taking a target feature vector corresponding to the target image as the input of a living body discriminationmodel; and obtaining a discrimination result output by the living body discrimination model, and determining whether a living body exists in the target image based on the discrimination result. According to the invention, whether the living body exists in the target image is determined, and the problem of privacy leakage is avoided.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a thermal imaging-based living body identification method, device, equipment and storage medium. Background technique [0002] Transportation, security, public safety and other fields have a wide range of application requirements for detecting whether there is a living body. However, traditional living body recognition is based on two-dimensional or three-dimensional visual images, which requires high computing performance of living body recognition equipment, resulting in high equipment costs, and two-dimensional or three-dimensional visual images have the problem of leaking privacy. Contents of the invention [0003] Based on this, it is necessary to address the above problems and propose a method, device, equipment, and storage medium for living body identification based on thermal imaging. [0004] In the first aspect, the present invention proposes a the...

AI Technical Summary

Problems solved by technology

However, traditional living body recognition is based on two-dimensional or three-dimensional visual images, which requires high computing performance of living body recognition equipment, resulting in high equipment costs, and two-dimensional or three-dimensional visual images have the problem of leaking privacy.

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