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Detection and recognition method of human face in video under low-light conditions

A face detection and recognition method technology, applied in the field of video face detection and recognition, can solve the problems of low recognition rate and inaccurate positioning

Inactive Publication Date: 2017-02-22
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: in order to improve the accuracy of the face detection and recognition system and make it meet the real-time performance According to the requirements, a video face detection and recognition method under low illumination is proposed

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  • Detection and recognition method of human face in video under low-light conditions
  • Detection and recognition method of human face in video under low-light conditions
  • Detection and recognition method of human face in video under low-light conditions

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Embodiment Construction

[0078] Taking the video face recognition method based on Adaboost and feature fusion as an example, the present invention will be further described in detail in conjunction with the accompanying drawings. The method specifically includes the following steps.

[0079] S1: Preprocessing of low-light face images based on fuzzy theory.

[0080] The image preprocessing in the present invention is to convert the image color space from RGB closely related to the color channel to HSV space and improve the brightness of the low-illuminance image by using the non-linear function.

[0081] S1.1HSV color space transformation.

[0082] At present, most of the images taken by camera equipment are RGB images. RGB images are obtained by weighting the three color components of red (R), green (G), and blue (B) to obtain various colors, but they are easily affected by light changes. Influence, and there is a high correlation between the RGB three primary color components, changing the color inf...

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Abstract

The invention relates to the field of computer vision, and refers in particular to a detection and recognition method of human face in video under low-light conditions. The system aims at the specific problem of recognizing human face under low-light conditions, and is designed to satisfy the video system with a recognition function of human face under low-light conditions. An algorithm of the system consists of three steps: 1. preprocessing the video image of human face under low-light conditions, based on fuzzy theory; 2. training with a classifier, based on human face detection algorithm of Adaboost; 3. recognizing human face in modeling Video, based on feature fusion. The result of recognizing human face can finally be obtained. Actually, the method can be embedded in FPGA to be used in the video camera monitoring system or cameras with the recognition function of human face. The method has the advantages of good in stability, high in recognition rate, high in speed of calculation, effective in recognizing face feature under low-light conditions, applicable to various systems, such as night vision monitoring system and verifying system of identity under low-light conditions, and strong in practicality.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a video face detection and recognition method under low illumination. Background technique [0002] Face recognition technology has been widely concerned by researchers in the fields of computer vision and pattern recognition, and has developed extremely rapidly in recent years. This technology has a wide range of application prospects, not only in criminal identification, driver's license and passport inspection, immigration management and other biometric identification fields, but also in information security fields such as Windows authentication, database management and document management, video conferencing and video surveillance. . When we know or know someone well, whether it is the person's previous state or the future state, the human eye can easily identify him, which is the strength of our human visual system. Computer vision attempts to simulate this visual function t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/172
Inventor 张斯尧刘向
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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