The Realization of the Real-time Gesture Segment Algorithm and Corresponding Hardware on Complicated Background

Zheng Jun-bo; Su Cheng-yue; Lin Jian-bing; He Rong-li

doi:10.3969/j.issn.1007-7162.2016.05.010

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

The Realization of the Real-time Gesture Segment Algorithm and Corresponding Hardware on Complicated Background

更新时间：2026-05-27

- The Realization of the Real-time Gesture Segment Algorithm and Corresponding Hardware on Complicated Background
- Vol. 33, Issue 5, Pages: 54-58(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2016.05.010
  CLC：
- Online First：10 September 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
郑俊波, 苏成悦, 林剑冰, 何榕礼. 复杂背景下的实时手势分割算法及其硬件实现[J]. 广东工业大学学报, 2016, 33(5): 54-58.

Zheng Jun-bo, Su Cheng-yue, Lin Jian-bing, et al. The Realization of the Real-time Gesture Segment Algorithm and Corresponding Hardware on Complicated Background[J]. 2016, 33(5): 54-58.
郑俊波, 苏成悦, 林剑冰, 何榕礼. 复杂背景下的实时手势分割算法及其硬件实现[J]. 广东工业大学学报, 2016, 33(5): 54-58. DOI： 10.3969/j.issn.1007-7162.2016.05.010.

Zheng Jun-bo, Su Cheng-yue, Lin Jian-bing, et al. The Realization of the Real-time Gesture Segment Algorithm and Corresponding Hardware on Complicated Background[J]. 2016, 33(5): 54-58. DOI： 10.3969/j.issn.1007-7162.2016.05.010.

摘要

在分析肤色的信息特征和手势的运动特性基础上，构建一种基于肤色集、运动集、模糊手势集的手势分割及跟踪算法并采用硬件实现.该算法对颜色空间建立肤色集和对视频流空间建立运动集，通过模糊运算得到模糊手势集，其中加入跟踪算法和背景实时更新，克服了复杂背景和光照因素的干扰.整个算法在现场可编程门阵列(FPGA)上实现，利用流水线和并行处理技术实现了手势的实时分割和跟踪.实验结果表明，该方法有较好的准确性、实时性和鲁棒性，在系统时钟100 MHz时，对640×480分辨率的图像可实现100帧/s的处理速度.

Abstract

Based on the analysis of the characteristics of skin color information and hand motion properties

a gesture segmentation and tracking algorithm on account of the color set

the motion set and the vague gesture set is constructed and realized on hardware. With this algorithm

the skin color set is established in color space while the motion set in video flow space. And through blurring operation joining tracking algorithm and the background realtime updating to overcome the interference of complex background and light factors

the vague gesture set is obtained. The whole algorithm is implemented on the field programmable gate array (FPGA)

realizing gesture real-time segmentation and tracking using streamlining and parallel processing technology. The experimental result shows that this method has good accuracy

timeliness and robustness. On a 100 MHz system clock

the speed of processing an image of 640×480 resolution can be as fast as 100 frames / second.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Design and Realization of Chaos-Based File Encryption System

A Study of Power Quality Regulation Strategies of Energy Storage Converters

Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication

Bimodal Iterative Cross-attention Fusion Ensemble Framework

An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model

Related Author

Chen Ping

Chen Bao-ju

Related Institution

School of Automation, Guangdong University of Technology

AI问答

⁰