원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.4 No.3
2011.09
pp.141-152
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보