Static gesture recognition method based on bounding box model

A gesture recognition and bounding box technology, applied in the field of computer vision, can solve problems such as complex calculations, achieve simple and effective algorithms, improve recognition rate, robustness, and fast recognition speed

Active Publication Date: 2020-02-14
JIANGSU UNIV OF SCI & TECH
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the skin color information, the gesture area in the scene image is segmented to obtain the gesture image, and then the geometric features of the gesture are easily affected by deformation. Considering the geometric features of the

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
  • Static gesture recognition method based on bounding box model
  • Static gesture recognition method based on bounding box model
  • Static gesture recognition method based on bounding box model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The preferred technical method of the present invention will be described in detail below with reference to the accompanying drawings.

[0029] A static gesture recognition method based on the bounding box model, such as figure 1 As shown in the flow, first, the scene image is detected by hand region to obtain the gesture image. The process of recognizing gesture images is divided into two layers. Layer 1 uses morphological operations to detect fingers, and preliminarily classifies gestures according to the index of fingers to realize initial recognition of gestures. The obtained result can be output as the final recognition result. Layer 2 is based on the recognition of layer 1, for gesture type 2 that needs to be further identified, combined with the relative fixed position between the fingers, extract the finger spacing and the angle between the fingers, model the gesture and classify it again, and finally Implement gesture recognition. Specific steps are as foll...

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 relates to a static gesture recognition method based on a bounding box. The method comprises the following steps: segmenting a gesture region in a scene image according to skin color information, and obtaining a gesture image; secondly, considering the geometrical characteristics of the gestures from multiple aspects aiming at the influence of deformation on the geometrical characteristics of the gestures, proposing an idea of utilizing a layering strategy, and realizing recognition tasks of various gestures in two steps; firstly, the number of fingers in a gesture image is detected; on the basis, gesture modeling is carried out by utilizing the relative positions of fingers, multi-type gesture classification is converted into classification of two gesture types in the current step, the problem of complex calculation caused by feature data fusion is avoided, gesture modeling and classification are carried out by utilizing gesture geometrical features, and the gesture recognition rate is improved.

Description

technical field [0001] The invention relates to computer vision, in particular to a static gesture recognition method based on a bounding box model. Background technique [0002] With the development of science and technology, human-computer interaction technology has gradually become the focus of computer research. As a humanized interaction method - gesture, it has more natural, simpler and stronger real-time characteristics. Gesture recognition algorithms have been widely used in various fields, and the popularity of gesture recognition has made human-computer interaction easier. Gesture is usually defined as a specific semantic system formed by the position and shape of the palm and fingers to express a specific meaning. Gestures can be divided into static gestures and dynamic gestures. Static gestures represent the spatial gesture of the hand at a certain moment, while dynamic gestures emphasize the sequence of hand gestures in a period of time. [0003] Geometric fe...

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
CPCG06V40/117G06V40/113Y02D10/00
Inventor 张辉邓继周王玉罗晓梅张胜文方喜峰朱成顺张春燕
Owner JIANGSU UNIV OF SCI & TECH
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