An automatic human gait recognition system based on joint angle estimation on silhouette images

Ali Saadoon, Md. Jan Nordin

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Gait recognition as a biometric attribute has the capability to be recognized in monitoring systems. In this paper, a method based on joint angle estimation of body motion for gait recognition is proposed. The representation of gait feature for the motion angles of upper and lower of body part is investigated and joint angle is calculated using Fourier, radon and Gabor features. Based on the joint angles estimation, we build a histogram of the feature individually. In the measurement stage of distance, χ2 function is used to measure the similarity between these histograms. After that, a classifier is built to implement the stage of classification. Experiments were tested on CASIA (B) Database to demonstrate that proposed method can attain a high-quality recognition performance.

Original languageEnglish
Pages (from-to)277-284
Number of pages8
JournalJournal of Theoretical and Applied Information Technology
Volume81
Issue number2
Publication statusPublished - 1 Nov 2015

Fingerprint

Gait Recognition
Silhouette
Angle
Radon
Biometrics
Histogram
Classifiers
Motion
Monitoring
Gait
Monitoring System
Experiments
Classifier
Attribute
Human
Demonstrate
Experiment

Keywords

  • Gait recognition
  • Joint angle
  • Silhouette
  • Skeletonization
  • SVM

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

An automatic human gait recognition system based on joint angle estimation on silhouette images. / Saadoon, Ali; Nordin, Md. Jan.

In: Journal of Theoretical and Applied Information Technology, Vol. 81, No. 2, 01.11.2015, p. 277-284.

Research output: Contribution to journalArticle

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