• Aug 25, 2016 News!Vol.4, No.3 has been published with online version. 15 peer reviewed articles from 3 specific areas are published in this issue.   [Click]
  • May 03, 2016 News!Vol. 3, No. 3 has been indexed by EI (Inspec).   [Click]
  • May 03, 2016 News!Vol. 3, No. 2 has been indexed by EI (Inspec).   [Click]
General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(4): 339-343 ISSN: 2301-3559
DOI: 10.7763/LNSE.2013.V1.73

Gesture Recognition from One Example Using Depth Images

Bin Liang and Lihong Zheng
Abstract—By using depth images, this paper presents an approach capable of recognizing the gesture from only one example of each class. Background removal and denoising are performed on depth images firstly. Motion Energy Information (MEI) images are then obtained through calculating the differences between consecutive frames. Within each MEI image, we represent successive movements by time series using Histograms of Oriented Gradients (HOG) descriptor. Principle Component Analysis (PCA) reconstruction approach is applied on the descriptor to find a set of discriminantly informative principle components (PCs) from the corresponding training gesture. Next the descriptors extracted from test gestures are reconstructed back utilizing each set of PCs from training gestures. Finally the test gestures are recognized according to the set of PCs which produces the lowest reconstruction error. We evaluate our approach on the task of recognizing gestures from one example using depth images, and compare the performance of our approach with other methods, reaching a promising result.

Index Terms—Gesture recognition, depth images, MEI image, HOG, PCA reconstruction.

The authors are with the School of Computing and Mathematics, Charles Sturt University, NSW 2678 Australia (e-mail: bliang@ csu.edu.au, lzheng@ csu.edu.au).


Cite: Bin Liang and Lihong Zheng, "Gesture Recognition from One Example Using Depth Images," Lecture Notes on Software Engineering vol. 1, no. 4, pp. 339-343, 2013.

Copyright © 2008-2015. Lecture Notes on Software Engineering. All rights reserved.
E-mail: lnse@ejournal.net