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基于OpenCV动态手势检测识别方法的研究
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| 基于OpenCV动态手势检测识别方法的研究.pdf | 538K |
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（完整内容请下载后查看）Journal of Image and Signal Processing
Study of Hand Gesture Detection and
Identification Algorithm Based on OpenVC
Zhousheng Ma
Henan Economy and Trade Vocational College, Zhengzhou Henan
Received: Sep. 22nd, 2017; accepted: Oct. 7th, 2017; published: Oct. 13th, 2017
Abstract
In view of the problem of lack of real-time recognition and low efficiency of dynamic gesture rec-
ognition, a dynamic gesture tracking and digital recognition algorithm based on OpenCV is pro-
posed. The method uses the skin color feature to extract the gesture profile, and HMM is used to
track gestures in the form of predictions and relocations. The identification of gestures is done by
first positioning the fingertip profile. After the experiment, the framework can track the palm area
stably, and the recognition accuracy is high, and there is no error and can achieve the accuracy of
the target tracking based on the recognition rate.
Keywords
Skin Color Feature, Gesture Tracking, OpenCV, Gesture Recognition, HMM
基于OpenCV动态手势检测识别方法的研究
马州生
河南省经贸职业学院，河南 郑州
收稿日期：2017年9月22日；录用日期：2017年10月7日；发布日期：2017年10月13日
摘 要
针对动态手势识别实时性不足和识别效率低的问题，本文提出一种基于OpenCV的动态手势检测和数字
识别方法。该方法采用肤色特征提取手势轮廓，以预测和重定位的形式采用HMM来对手势进行跟踪，手
势的识别采用先对指尖轮廓进行定位的方式。经过实验，本文方法能够稳定地跟踪手掌区域，识别准确
度高，并能够在保证识别率的基础上实现对手指数目的准确识别跟踪。
动态手势检测识别方法的研究[J]. 图像与信号处理, 2017, 6(4): 196-203.
DOI
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2019-09-11 08:25:28liqiang9090
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