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A face image processing method and device

A face image and processing method technology, applied in the computer field, can solve the problems of missing people in tracking, difficult to accurately track face images, and tracking interruptions, etc., to achieve the effect of improving judgment accuracy, small impact, and strong robustness

Active Publication Date: 2021-06-04
DATANG SOFTWARE TECH
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Problems solved by technology

[0005] However, the inventor found that the existing technology will cause the problem of missing part of the tracking person, and the tracking is prone to intermittent problems, so it is difficult to achieve accurate tracking of the face image, and it is impossible to realize the complete collection of the face image

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  • A face image processing method and device

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Embodiment Construction

[0057] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0058] refer to figure 1 , shows a flow chart of the steps of an embodiment of a face image processing method of the present invention, which may specifically include the following steps:

[0059] In step S101, detect the current face image in the current video image by the seetaface face detection algorithm;

[0060] When recording a video at a fixed location through a surveillance camera, the video image will be continuously collected through the surveillance camera. Whenever a frame of video image is collected, it is necessary to use the seetaface face detection algorithm to detect whether there is a face image in the collected video image , when there is a human face image, use the detected human face image as the current hum...

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Abstract

Embodiments of the present invention provide a face image processing method and device. In the embodiment of the present invention, all face images appearing in the video image can be detected by using the seetaface face detection algorithm to detect the face images in the video image, so as to avoid missing the face images. The eigenvector of the directional gradient histogram is invariant to rotation, scaling, and brightness, and is also stable to factors such as viewing angle changes, light, and noise. Therefore, it is less affected by external environmental factors and has strong robustness. Therefore, according to the directional gradient histogram Figure feature vector to judge whether the face image being tracked and the current face image are the face images of the same person, which can improve the judgment accuracy.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a face image processing method and device. Background technique [0002] In today's society, in order to provide safety precautions and guarantees for people's work and life, surveillance cameras are often installed at important locations, and the surveillance videos at important locations are recorded through the surveillance cameras. There is a suspicious person, for example, to see if there is a fugitive, etc. [0003] Wherein, when the viewer checks whether there is any suspicious person in the surveillance video recorded by the surveillance camera, he needs to view each frame of the video image in the surveillance video frame by frame, resulting in low viewing efficiency and high workload of the viewer. [0004] In order to improve viewing efficiency and reduce the workload of viewing personnel, in the prior art, a meanshift algorithm or a camshift algorithm or a mean tra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/161G06V40/168G06V10/50
Inventor 朱国刚李波刘永霞
Owner DATANG SOFTWARE TECH
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