Earticle

초록

영어

In this paper, Gait Energy Image (GEI) has constructed to apply Principal Component Analysis (PCA) with and without Radon Transform (RT). The Radon Transform is used to detect features within an image and PCA is used to reduce dimension of the images without much loss of information. The side view of slow walk; fast walk and carrying a ball walk have been selected from the CMU MoBo database for experimental purposes. The two techniques achieved equal error rates (EER) of 94.23%, 82.28%, and 90.38% for PCA only and 96.15%, 82.70% and 92.30% for PCA with RT for slow walk, fast walk and carrying a ball walk respectively.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Systems Design
  3.1 Gait Energy Image (GEI)
  3.2 PCA Technique Only
  3.3 Principal component analysis and RT technique
  3.4 Training and Testing Database
  3.5 Matching Criteria
  3.6 Threshold tuning parameter
 4. Result and discussion
 5. Conclusion
 References

키워드

저자

• Hayder Ali [ Computer Engineering Program, School of Engineering and Information Technology, University Malaysia Sabah ]
• Jamal Dargham [ Computer Engineering Program, School of Engineering and Information Technology, University Malaysia Sabah ]
• Chekima Ali [ Computer Engineering Program, School of Engineering and Information Technology, University Malaysia Sabah ]
• Ervin Gobin Moung [ Computer Engineering Program, School of Engineering and Information Technology, University Malaysia Sabah ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605