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
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[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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