Method and device for recognizing blink movement

A recognition method and motion technology, applied in the field of face recognition, can solve problems such as inaccurate motion state, and achieve the effect of solving inaccurate and accurate detection of motion state

Active Publication Date: 2017-06-27
TENCENT TECH (SHENZHEN) CO LTD +1
View PDF9 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a blink movement recognition method and device to at least solve the technical problem of inaccurate detection of human eye movement state

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
  • Method and device for recognizing blink movement
  • Method and device for recognizing blink movement
  • Method and device for recognizing blink movement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] According to the embodiment of the present invention, a method embodiment that can be executed by the device embodiment of the present application is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be implemented in a computer system such as a set of computer-executable instructions. Although the logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than here.

[0019] According to an embodiment of the present invention, a method for recognizing blinking movement is provided.

[0020] Optionally, in this embodiment, the above-mentioned blinking motion recognition method can be applied to figure 1 The terminal 102 and the server 104 are shown in a hardware environment. Such as figure 1 As shown, the terminal 102 is connected to the server 104 through a network. The above-mentioned networks include but are not limited to: a mobile communication network, a...

Embodiment 2

[0066] According to an embodiment of the present invention, there is also provided a blinking motion recognition device for implementing the above blinking motion recognition method, such as Figure 4 As shown, the device includes: an acquiring unit 40, a first determining unit 42, a determining unit 44, and a second determining unit 46.

[0067] The acquiring unit 40 is configured to acquire the texture feature of the eye image in the predetermined image frame of the face image frame sequence, where the texture feature is used to represent the biological feature of the eye corresponding to the eye image.

[0068] The face image frame sequence can be a sequence with at least two image frames such as video, animation, etc. The predetermined image frame can be multiple face image frames with a certain interval in the face image frame sequence, or it can be a face image frame sequence Every frame in. For multiple face image frames with a certain interval, a uniform time interval or a ...

Embodiment 3

[0108] According to an embodiment of the present invention, there is also provided a terminal for implementing the above-mentioned blinking motion recognition method, such as Figure 5 As shown, it mainly includes a processor 501, a camera 502, a display 503, a data interface 504, a memory 505 and a network interface 506, among which:

[0109] The camera 502 is mainly used to collect face image frame sequences.

[0110] The data interface 504 transmits the face image frame sequence captured by the third-party tool to the processor 501 mainly through data transmission.

[0111] The memory 505 is mainly used to store an initial image and an intermediate file used for vehicle recognition using the initial image.

[0112] The network interface 506 is mainly used for network communication with a server or other terminals to issue instruction information.

[0113] The display 503 is mainly used to display the recognition result of the blinking movement and the execution result obtained when ...

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 invention discloses a method and a device for recognizing a blink movement. The method comprises steps: texture features of an eye image in a predetermined image frame in a human face image frame sequence are acquired, wherein the texture features are used for characterizing biological features of the eye part corresponding to the eye image; according to the texture features, whether the eye image in the predetermined image frame is an opened eye image or a closed eye image is determined; whether the eye image in the human face image frame sequence contains the opened eye image and the closed eye image is judged; and if the eye image in the human face image frame sequence contains the opened eye image and the closed eye image, a blink movement existing in the human face corresponding to the human face image frame sequence is determined. The technical problem that the human eye movement state is inaccurately detected can be solved.

Description

Technical field [0001] The present invention relates to the field of face recognition, and in particular to a method and device for recognizing blinking movements. Background technique [0002] Face recognition technology can identify whether the face in the video is blinking. It usually uses key point positioning technology for facial features, using multiple key points to locate the eyes of the face image in each frame of the video sequence, and then use these The coordinates of the key points are calculated to calculate the eye area, and finally by calculating the change of the area to determine whether there is blinking motion on the face in the video. [0003] When there is shaking of the face in the video, the positioning based on the key points of the face will cause the positioning failure or the large deviation, which makes the positioning position deviate from the human eye, which causes the calculated eye area to be wrong, and eventually leads to The detection of human ...

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
IPC IPC(8): G06K9/00
CPCG06V40/18
Inventor 汪铖杰
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap