| 基于视觉的手势识别技术及其应用研究 |
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| 引用本文：张圆圆.基于视觉的手势识别技术及其应用研究[J].计算技术与自动化,2015,(1):131-135 |
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| 中文摘要:研究基于视觉的手势识别技术，并在OpenCV的平台基础上实现基于该技术的多媒体教学的应用，即在幻灯片播放的过程中能够由动态手势来控制幻灯片的翻页。首先通过摄像头来采集图像，利用背景差分法结合颜色直方图检测动态信息完成手势的检测。其次通过几种动态手势的跟踪算法的分析与比较，采用主流的非线性跟踪算法—粒子滤波算法。最后是应用实现部分，将手势识别的结果应用于多媒体演示文稿的播放中，实现通过动态手势实时控制PPT翻页的功能。 |
| 中文关键词:手势识别 背景差分 粒子滤波 实时控制 |
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| Research on Visual Gesture Recognition Technology and Its Application |
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| Abstract:This paper studied the gesture recognition technology based on the vision, and realized the application of multimedia teaching based on the technology on the platform of OpenCV. That is, in the process of the slideshow flip，slide can be controlled by the dynamic gesture. Firstly,the gesture detection was impleminted through the camera to capture images and using background subtraction method combined with color histogram. Secondly, through the analysis and comparison of several dynamic gesture tracking algorithms, the mainstream nonlinear tracking algorithm-particle filter algorithm,was adrpted. The results of pattern recognition were applied to multimedia presentations, realizing the real-time control of PPT flip function by dynamic hand gesture. |
| keywords:gesture recognition background differencing particle filter real-time control |
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