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图片操作的手势动态识别系统
引用本文:陈守满,朱伟,王庆春.图片操作的手势动态识别系统[J].现代电子技术,2012,35(22):4-6.
作者姓名:陈守满  朱伟  王庆春
作者单位:安康学院 电子与信息工程系,陕西 安康,725000
基金项目:陕西省教育厅科研计划项目,安康学院重点学科项目,大学生科技创新项目
摘    要:为了实现图片操作命令的手势输入,设计了图片操作的手势动态识别系统。系统以ARM(S3C6410)为硬件处理核心,利用数字图像处理和嵌入式视觉技术,由摄像头捕捉帧图像,经OpenCV技术处理识别后,发出相应命令,操作显示屏上的图片,实现了对图片非接触式的缩放和切换操作等功能。进行实验测试,取得了良好的效果,所提出的设计思想为手语输入、机器人视觉输入的方案设计提供了参考。

关 键 词:手势识别  图片操作  ARM  OpenCV  QT  E

Gesture dynamic recognition system for picture manipulation
CHEN Shou-man , ZHU Wei , WANG Qing-chun.Gesture dynamic recognition system for picture manipulation[J].Modern Electronic Technique,2012,35(22):4-6.
Authors:CHEN Shou-man  ZHU Wei  WANG Qing-chun
Affiliation:(Department of Electronic and Information Engineering,Ankang University,Ankang 725000,China)
Abstract:In order to realize the gesture input for picture manipulation commands, a gesture dynamic recognition system for picture manipulation was designed. The ARM (S3C6410) is taken as the system hardware core in the system. The digital image processing and embedded vision technology are adopted in the system to capture frame images by camera, process and identify images by OpenCV technology, manipulate pictures on the TFT screen, and achieve the zoom and switch operation of non-contact pictures. The experiment and testing achieved good results. The proposed design ideas provide a reference for scheme design of the sign language input and Robot visual input.
Keywords:gesture recognition  picture manipulation  ARM  OpenCV  QT/E
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