Video-based automatic sign language recognition

Zhang Sheng-Jun

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Video-based automatic sign language recognition

更新时间：2023-11-14

- Video-based automatic sign language recognition
- Advanced Engineering Sciences Vol. 43, Issue Z1, Pages: 155-159(2011)
- 作者机构：
  
  四川大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011，
  
  Published Online：4 May 2011，
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张生军.基于视频的手势识别中左右手判别研究(改投研究生论坛)[J].工程科学与技术,2011,43(Z1):155-159.

Zhang Sheng-Jun. Video-based automatic sign language recognition. [J]. Advanced Engineering Sciences 43(Z1):155-159(2011)
张生军.基于视频的手势识别中左右手判别研究(改投研究生论坛)[J].工程科学与技术,2011,43(Z1):155-159. DOI：

Zhang Sheng-Jun. Video-based automatic sign language recognition. [J]. Advanced Engineering Sciences 43(Z1):155-159(2011) DOI：

摘要

中文摘要: 针对基于视频的手势识别中，由于左右手遮挡、背景与肤色相近等原因常常造成的手部分割、双手跟踪错误的问题，该文介绍了一种手势视频中左右手区分判别方法，通过对双手的区分判别，可以辅助视频中手部分割，同时可以降低由于手部遮挡造成的左右手跟踪错误。该方法首先提取左右手不同情况下训练样本的梯度方向直方图(HOG)特征；然后对手部特征进行主成份分析(PCA)，通过去除冗余信息，进而找到描述左手、右手和双手遮挡的三种模式；最后，通过模式匹配实现了左右手判别。实验结果显示，该文采用的方法能较好地判别左右手。

Abstract

Abstract:In video-based automatic gesture recognition

interfering factors such as hand occlusion and color closeness between background and skin of the signer often result in errors in hand segmentation and hand tracking. In light of this

this article introduces a method to differentiate left and right hand in videos of signing. Through the differentiation of each hand

hand segmentation in videos can be assisted

and left/right hand tracking error due to hand occlusion can be diminished. In this method

feature of histograms of oriented gradients (HOG) in the training samples using single hand

either left or right hand

was firstly extracted. Next

principal component analysis (PCA) was carried out on hand feature

and the three different patterns of left hand

right hand

and hand occlusion were then generated through eliminating redundant information. Lastly

left-right hand differentiation was realized through pattern matching. The results of the experiment showed that the method adopted in this study helped realize relatively sound recognition rate.

关键词

手势识别图像分类梯度方向直方图(HOG)主成份分析(PCA)特征提取

Keywords

Gesture recognitionimage classificationHistograms of oriented gradients (HOG)Principal component analysis (PCA)feature extraction

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School of Electrical Eng., North China Univ. of Water Resources and Electric Power

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