Face automatic labeling method and system

Abstract

The invention relates to a face automatic labeling method and a face automatic labeling system. Firstly, faces are detected from a captured video, a face image set is acquired, then the face image set is filtered, an HSV (Hue, Saturation, Value) color histogram difference value of an image of an adjacent frame is simultaneously acquired, shot segmentation is carried out by adopting a spatial color histogram shot edge detecting algorithm, angular points in a target region of a first frame are detected for the faces from the adjacent frame, the angular points are deferred to a next frame by using a local matching method, corresponding updating is carried out, a matched number is subjected to statistics, and according to a threshold value of the matched number, the operation is sequentially carried out to acquire face sequences; then speakers and unspeaking people are detected by a lip motion detection module according to lip motion of the speakers in the face sequences and the speakers, talk contents and talk time are fused to be labeled; and finally, the faces on each sequence are read in and are gradually positioned, then affine transformation is carried out according to a positioning result and pixel gray values in a round region with a fixed size near a transformed feature point are extracted to be used as features of the faces. The face automatic labeling method and the face automatic labeling system which are disclosed by the invention are convenient to use and have high accuracy.

Description

technical field [0001] The present invention relates to a method and system for human face labeling, in particular to a method and system for automatic and accurate labeling of human faces. Background technique [0002] Video face annotation is a kind of video information mining. The existing and common technology is to use manual annotation. The annotation process is as follows: figure 1 . In the process of traditional manual labeling, the efficiency is low, time-consuming and labor-intensive. And due to human differences may lead to inconsistent labeling before and after. The existing technology of automatic video face labeling is basically in the experimental research stage, and there is no effective, stable and accurate automatic labeling system. Contents of the invention [0003] The technical problem to be solved by the present invention is to construct a method and system for automatic face labeling to overcome the technical problem that the prior art does not ha...

AI Technical Summary

Problems solved by technology

In the process of traditional manual labeling, the efficiency is low, time-consuming and labor-intensive

And due to human differences may lead to inconsistent labeling before and after

The existing automatic video face tagging is basically in the experimental research stage, and there is no effective, stable and accurate automatic tagging system.

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