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

Face tracking method and camera

A technology of camera and average face, applied in face tracking method and camera field, can solve problems such as jitter and tracking result distortion, achieve the effect of improving accuracy and tracking speed, and avoiding instability

Active Publication Date: 2019-09-06
QINGDAO PICO TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The real-time tracking of face alignment is of great help to video processing. However, the current research on face alignment is relatively enthusiastic, and there are few studies on real-time tracking of face alignment. Moreover, the points determined by most tracking algorithms are in the There is jitter between frames, which makes the tracking results obviously distorted

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
  • Face tracking method and camera
  • Face tracking method and camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings. It should be understood, however, that these descriptions are exemplary only and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0019] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the invention. The words "a", "an" and "the" used herein shall also include the meanings of "plurality" and "multiple", unless the context clearly indicates otherwise. In addition, the terms "comprising", "comprising", etc. used herein indicate the existence of stated features, steps, operatio...

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 face tracking method and a camera. The face tracking method comprises the following steps: acquiring an initial position of a facial feature point of a first frame of image in an acquired image frame sequence; taking the initial position of the facial feature point as the input of a convolutional neural network; outputting a position probability heat map of the facial feature points by the convolutional neural network, and performing iterative regression processing on the position probability heat map of the facial feature points by adopting a point distribution modelto obtain pixel positions of the facial feature points in the first frame of image; and obtaining the initial positions of the facial feature points of the second frame of image in the image frame sequence by using the pixel positions of the facial feature points in the first frame of image to realize face tracking. According to the invention, interframe face alignment tracking can be realized, and the problems of instability and jitter of interframe face feature points are avoided, and the tracking accuracy and the tracking speed are improved.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a face tracking method and a camera. Background technique [0002] Face alignment is to detect faces in the image and label each specific point. Face alignment technology is often used in video processing, such as live broadcast, short video and other applications. [0003] The real-time tracking of face alignment is of great help to video processing. However, the current research on face alignment is more enthusiastic, and the research on real-time tracking of face alignment is less, and the points determined by most tracking algorithms are in the There is jitter between frames, which makes the tracking results obviously distorted. Contents of the invention [0004] The present invention provides a face tracking method and camera to at least partly solve the above problems. [0005] In a first aspect, the present invention provides a face tracking method, comprisin...

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): G06K9/00G06K9/62G06T7/246
CPCG06T7/246G06T2207/30201G06T2207/20081G06T2207/20084G06V40/166G06V40/168G06V40/172G06F18/213
Inventor 刘子伟吴涛
Owner QINGDAO PICO TECH CO LTD
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