Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Expression recognition method, device and equipment for video

An expression recognition and expression classification technology, applied in the computer field, can solve the problems of low accuracy of recognition results, loss of recognition and classification information, etc., and achieve the effect of reducing the amount of calculation, classifying accurately, and improving the speed of recognition.

Inactive Publication Date: 2018-05-01
北京飞搜科技有限公司
View PDF5 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the current technology, most of the methods of extracting various features of the face in the video (such as geometric features, statistical features, etc.) are used to perform positioning, statistics and other methods for expression recognition, which loses a lot of recognition and classification information, and the recognition results are accurate. low degree

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Expression recognition method, device and equipment for video
  • Expression recognition method, device and equipment for video
  • Expression recognition method, device and equipment for video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.

[0032] For human expressions, it often lasts for a period of time from the appearance of an expression to its disappearance. During this process, the muscles of the face are continuously changing. It is reflected in the video, that is, the faces in the pictures of consecutive frames of a video have different characteristics, that is, both tempor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses an expression recognition method, device and equipment for a video. The method comprises the steps: extracting a corresponding image sequence from any video comprising a face; extracting a face image in the video through face recognition, and carrying out a corresponding alignment operation as the input; carrying out the feature extraction comprising spatial features and time features through a pre-trained 3D convolution neural network, and generating a feature vector. The method integrates the prediction of the time-space domain of an image sequence,and achieves the more accurate expression recognition according to the feature vector.

Description

technical field [0001] This specification relates to the field of computer technology, and in particular to a video expression recognition method, device and equipment. Background technique [0002] With the development of technology, facial expression recognition for videos needs to be used in more and more life scenes. [0003] In the current technology, most of the methods of extracting various features of the face in the video (such as geometric features, statistical features, etc.) are used to perform positioning and statistical methods for expression recognition, which loses a lot of recognition and classification information, and the recognition results are accurate. lower degree. [0004] Based on this, a more accurate facial expression recognition scheme for videos is needed. Contents of the invention [0005] The embodiments of this specification provide a video expression recognition method, device, and equipment to solve the following problem: to provide a mo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/175G06V20/46G06N3/045G06F18/2411
Inventor 许靳昌董远白洪亮熊风烨
Owner 北京飞搜科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com