GVF snake model based contour extraction of gait recognition

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (6): 181-183.

• 图形、图像、模式识别 • Previous Articles Next Articles

GVF snake model based contour extraction of gait recognition

ZHANG Fan¹，LI Rui¹，LIU Shuai²

1.Institute of Image Processing and Pattern Recognition，Henan University，Kaifeng，Henan 475001，China
2.Department of Computer Science and Engineering，Hennan University of Urban Construction，Pingdingshan，Hennan 467064，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-02-21 Published:2011-02-21

基于GVF Snake模型的步态识别轮廓提取

张帆¹，李锐¹，刘帅²

1.河南大学图像处理与模式识别研究所，河南开封 475001
2.河南城建学院计算机科学与工程系，河南平顶山 467064

Abstract

Abstract: Gait recognition is a new biometric identification technology.It achieves personal identification and authentication through the way of people walking.The feature extraction of gait is the key step in gait recognition.This paper combines the background subtraction method with symmetric differential method to segment the motion human image，and then extracts the contour of motion human with modified GVF Snake model.The experimental results show that the proposed method can extract contour as the gait recognition character effectively.

Key words: GVF Snake model, gait recognition, motion segmentation, contour extraction

摘要： 步态识别作为一种新的生物识别技术，通过人走路的姿势实现对个人身份的识别和认证。步态特征提取是步态识别的关键步骤。采用背景消减法与对称差分法相结合对运动人体分割，采用改进的GVF Snake模型对人体运动步态轮廓进行边缘提取。实验结果表明该方法能准确高效地提取边缘特征作为步态识别的特征。

关键词: GVF Snake模型, 步态识别, 运动分割, 轮廓提取

ZHANG Fan¹，LI Rui¹，LIU Shuai². GVF snake model based contour extraction of gait recognition[J]. Computer Engineering and Applications, 2011, 47(6): 181-183.

张帆¹，李锐¹，刘帅². 基于GVF Snake模型的步态识别轮廓提取[J]. 计算机工程与应用, 2011, 47(6): 181-183.

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GVF snake model based contour extraction of gait recognition

基于GVF Snake模型的步态识别轮廓提取

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