Identification method for video and living body faces based on background comparison

A background and living body technology, applied in the field of automatic identification of video faces and live faces, can solve problems such as impact

Active Publication Date: 2010-05-05
浙江浙大西投脑机智能科技有限公司
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AI Technical Summary

Problems solved by technology

However, some of these methods require the cooperation of the user's head or face, while others are greatly affected by external environmental conditions.

Method used

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  • Identification method for video and living body faces based on background comparison
  • Identification method for video and living body faces based on background comparison
  • Identification method for video and living body faces based on background comparison

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Experimental program
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Embodiment Construction

[0034] Confirmation of the comparison area between face positioning and background:

[0035] For each frame of the input video, the face must be localized first. Use Haar similar features and cascade Adaboost method (refer to: P.Viola, MJ Jones, Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE Conference on. Computer Vision and Pattem Recognition, pp.511-518, 2001.), Perform face position detection on each frame of input video. The cascaded Adaboost method is to cascade several Adaboost classifiers, that is, the result of the previous classifier is used as the content of the next classifier to improve the classification performance. The Adaboost classifier uses face images and non-face images as samples to train parameters. The features extracted from the sample are Haar similar features, because Haar similar features can effectively express important features such as eyes, nose bridge, and mouth in the face, and can be calculated quickly.

[0036] When th...

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PUM

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Abstract

The invention discloses an identification method for video and living faces based on background comparison, comprising the following steps of: firstly, detecting the face position of each frame of an image of input video, and determining a background comparison district according to the detected face position; secondly, selecting an extreme point of the input video and the background comparison district on dimension space as a characteristic point of the background comparison district to obtain a background characteristic point set (Pt); thirdly, describing the characteristics of the image I on the background characteristic point set (Pt) by Gabor wavelet transformation; and fourthly, defining a living body value (L) by the result of the third step, wherein if the living body value (L) is larger than the threshold theta, the living body is determined, and otherwise, the living body is fake video. The invention mainly solves the problem of the computer automatic identification of video faces and living body faces only by a single camera.

Description

Technical field [0001] The present invention relates to the technical field of computer processing of videos and images, in particular to a method for automatically distinguishing a video face from a living face through background comparison. Background technique [0002] Living body face detection is an important guarantee for the security of computer face recognition systems. For a two-dimensional face recognition system, using a video of a legitimate user to impersonate a user in front of the camera is a common attack method. The video contains physiological information such as head movement, blinking, and lip movement, which is very similar to a living human face. The big commonality poses a great threat to the security of the identification system. [0003] So far, there are not many researches on living face detection technology, mainly including three-dimensional depth estimation, facial expression changes, optical flow, frequency spectrum, blink detection and other analysi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 潘纲吴朝晖孙霖
Owner 浙江浙大西投脑机智能科技有限公司
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