| 基于机器视觉的动态多点手势识别方法 |
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| 引用本文： | 李文生,解梅,邓春健.基于机器视觉的动态多点手势识别方法[J].计算机工程与设计,2012,33(5):1988-1992. |
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| 作者姓名： | 李文生 解梅 邓春健 |
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| 作者单位： | 1. 电子科技大学中山学院计算机学院,广东中山,528402
2. 电子科技大学中山学院计算机学院,广东中山528402;电子科技大学电子工程学院,四川成都610054 |
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| 基金项目： | 广东省科技计划基金项目(2009B030803031);广东省自然基金项目(8152840301000009) |
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| 摘 要： | 提出了一种高效的基于HSV颜色空间的多目标检测跟踪方法,实现通过摄像机实时检测跟踪多个指尖目标；定义了一套基于指尖运动轨迹的动态手势模型,并提出了动态手势识别方法；对于两点动态手势,通过BP神经网络进行手势学习和手势识别,而对于模拟鼠标手势和四点动态手势,利用指尖之间相互位置关系进行手势识别.测试结果表明,该方法能够快速、准确的跟踪多个运动的指尖目标并进行动态多点手势识别.
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| 关 键 词： | 机器视觉 指尖目标跟踪 BP神经网络 动态手势识别 人机交互 |
Dynamic multi-point gesture recognition based on machine vision |
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| LI Wen-sheng
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XIE Mei
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DENG Chun-jian.Dynamic multi-point gesture recognition based on machine vision[J].Computer Engineering and Design,2012,33(5):1988-1992. |
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| Authors: | LI Wen-sheng XIE Mei DENG Chun-jian |
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| Affiliation: | 1(1.School of Computer,University of Electronic Science and Technology of China,Zhongshan Institute,Zhongshan 528402,China; 2.School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China) |
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| Abstract: | An efficient algorithm for multi-object detecting and tracking based on HSV color space is proposed to detect and track multi fingertips through a camera,a set of dynamic gestures based on the trajectories of fingertips is defined and a method of dynamic gesture recognition is presented: two-point gesture is trained and recognized through BP neural network while four-point gesture is recognized in the light of position relationship between the fingertips.Experimental results show that the proposed method is reliable and efficient for the tracking of the moving fingertips and for the recognition of dynamic gestures. |
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| Keywords: | machine vision tracking of fingertips BP neural network dynamic gesture recognition human-computer interaction |
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