Optical flow characteristic vector mode value and angle combination micro expression detection method based on interested area

Abstract

The invention relates to an optical flow characteristic vector mode value and angle combination micro expression detection method based on an interested area. According to the method, firstly, a micro expression video is pre-processed to acquire a micro expression sequence, key face characteristic points are further extracted, and a face interested area having the best effect is found out according to motion characteristics of different expression FACS motion units; optical flow characteristics of the interested area are extracted. The optical flow vector angle information is firstly introduced, an optical flow vector mode value and the angle information are acquired through calculation, through combination of the two, a more comprehensive and more judicious characteristic detection micro expression segment can be acquired; the optical flow mode value and the angle information are combined, the threshold is determined according to magnitude of the optical flow mode value, and a number shape combination method is utilized to vividly and visually acquire the micro expression segment. The method is advantaged in that micro expression detection efficiency is substantially improved, optical flow characteristic vector extraction is carried out only in the key face area, computational complexity is reduced, the consumption time is shortened, and high robustness is realized.

Description

technical field [0001] The invention relates to a micro-expression detection method based on the combination of optical flow feature vector modulus and angle of an area of ​​interest, and belongs to the technical fields of pattern recognition and computer vision. Background technique [0002] In recent years, we can better realize human-computer interaction through the recognition of voice, facial expression, body language and other features, and the most important thing to realize human-computer interaction is the recognition of human emotions. Among them, facial expression is the most important feature to recognize human emotions, but in many cases people will hide or suppress their real emotions, which we usually call micro-expressions. Micro-expression is a very fast expression that lasts only 1 / 25 second to 1 / 5 second. It can reveal the true emotions that humans try to hide. It is used in national security, clinical diagnosis, case detection, danger warning, personal de...

AI Technical Summary

Problems solved by technology

This method is more ingenious, but the design idea is more complicated. At the same time, parameters need to be set manually. In practical applications, parameters, thresholds, etc. may need to be reset.

Images