Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (1): 140-146.doi: 10.3969/j.issn.1000-565X.2015.01.022

• Computer Science & Technology • Previous Articles    

Dynamic Gesture Recognition Based on Gesture Contour Model of Time Series

Pang Hai-bo1 Li Zhan-bo1 Ding You-dong2   

  1. 1. School of Software Technology ， Zhengzhou University ， Zhengzhou 450002 ， Henan ， China ；2. School of Film and TV Arts Technology ， Shanghai University ， Shanghai 200072 ， China
  • Received:2014-02-21 Revised:2014-09-15 Online:2015-01-25 Published:2014-12-01
  • Contact: 庞海波（1979-），男，博士，讲师，主要从事图像处理和模式识别研究 . E-mail:phb@zzu.edu.cn
  • About author:庞海波（1979-），男，博士，讲师，主要从事图像处理和模式识别研究 .
  • Supported by:
    Supported by the Scientific and Technological Projects of Shanghai Science and Technology Committee（ 11511503300 ）

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Abstract: Proposed in this paper is a new dynamic gesture recognition framework to solve time-scale variability and complexity of dynamic gestures. This framework constitutes a dynamic gesture contour image by using the gesture contour in time series ， and calculates the mean and variance images of gray-scale images in different time scales. Furthermore ， these mean and variance images are organized into a dynamic gesture contour model library.On this basis ， dynamic gestures are recognized by using correlated information method and improved dynamic time warping method. Experimental results show that the proposed dynamic gesture contour model is of strong robustness to the dynamic gestures in various time scales ， and that the improved dynamic time warping method helps obtain recognition rate higher than that of the traditional method.

Key words: gesture recognition, time series, contour model, correlated information method, dynamic time warping

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