Target hand analysis method and device, electronic equipment and storage medium

An analysis method and target technology, applied in the field of gesture recognition, can solve problems such as making mistakes, and achieve the effects of avoiding misrecognition, reducing objects for gesture recognition, and narrowing the recognition range

Pending Publication Date: 2022-05-06
TCL CHINA STAR OPTOELECTRONICS TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Deep learning network can recognize most gestures, bu

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
  • Target hand analysis method and device, electronic equipment and storage medium
  • Target hand analysis method and device, electronic equipment and storage medium
  • Target hand analysis method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.

[0063] In the description of the present application, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of said features. In the description of the present application, "plurality" means two or more, unless otherwise specifically defined. ...

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 target hand analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-recognized image in a to-be-detected area; determining a first suspected target according to the to-be-recognized image and a preset hand contour; if the first suspected target belongs to the human body area, determining the first suspected target as a second suspected target; and if the gesture of the second suspected target accords with the preset gesture, determining that the second suspected target is a target hand. According to the embodiment of the invention, the target hand is determined by judging whether the target conforms to the preset gesture or not, and misrecognition caused by the fact that some objects are similar to the hand contour is avoided.

Description

technical field [0001] The present application relates to the technical field of gesture recognition, in particular to a target hand analysis method, device, electronic equipment and storage medium. Background technique [0002] Gesture recognition technology has been widely used in various home appliances, such as smart TVs and electronic picture frames. One of the more commonly used and relatively reliable techniques is to use the method of adaboost detector or deep learning training detector to train a detector that can traverse and locate and label the hand area on a frame of image. Deep-learning networks can recognize most gestures, but err on the side of objects with similar outlines. Contents of the invention [0003] Embodiments of the present application provide a target hand analysis method, device, electronic equipment, and storage medium, which determines the target hand by judging whether the target matches a preset gesture, and avoids misidentification cause...

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): G06V40/10G06N3/08G06N3/04G06K9/62G06V10/82G06V10/774
CPCG06N3/04G06N3/08G06F18/214
Inventor 邓新富符曦擘
Owner TCL CHINA STAR OPTOELECTRONICS TECH 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