Face detection method and face detection system

Abstract

The invention relates to a face detection method and a face detection system. The method includes: judging presence of an unmarked group of face images in internal memory; if presence is confirmed, determining emptiness of cache; if emptiness is affirmative, storing another group of face images and corresponding average characteristic values in the internal memory into the cache and using as first face images and first average characteristic values; if emptiness is negative, using corresponding average characteristic values of the unmarked group of face images in the internal memory as secondaverage characteristic values of second face images, and comparing the second average characteristic values with the first average characteristic values in the cache in terms of similarity; if similarity is affirmative, obtaining new average characteristic values as new first average characteristic values from the second average characteristic values and the first average characteristic values inthe cache; if similarity is negative, selecting three best face images in the cache and the corresponding first average characteristic values and outputting. A plurality of continuous groups of images of a same person can be effectively clustered and separated from those of other persons, so that a function of outputting one group of images for one same person is realized, and timeliness in face detection and acquisition is improved.

Description

technical field [0001] The invention relates to a face detection method and system. Background technique [0002] Today, face detection and recognition technology is gradually applied to video security monitoring systems, and the premise of its application is face collection. The collection of face information is the basis of the application of face recognition technology. The existing security technology prevention system performs real-time monitoring and video recording of the interior of public places through video security monitoring equipment, so as to realize the control of important areas and video retrieval after incidents occur. The defects of the existing face detection and recognition technology are mainly manifested in: the utilization rate of video surveillance images is low, mainly to realize image recording and monitoring of important places, manual monitoring and management of all video images cannot be realized; To find suspicious points, it is often to sea...

AI Technical Summary

Problems solved by technology

However, for applications in complex environments with a large flow of people and people not actively cooperating, the existing face detection and recognition technology has shortcomings such as low face collection rate, face detection errors, and poor real-time performance. The success rate of face recognition is low and the amount of calculation is large

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