Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2010.17B.1.001

An Implementation of Gaze Recognition System Based on SVM  

Lee, Kue-Bum (성균관대학교 정보통신공학부)
Kim, Dong-Ju (성균관대학교 정보통신공학부)
Hong, Kwang-Seok (성균관대학교 정보통신공학부)
Publication Information
The KIPS Transactions:PartB / v.17B, no.1, 2010 , pp. 1-8 More about this Journal
Abstract
The researches about gaze recognition which current user gazes and finds the location have increasingly developed to have many application. The gaze recognition of existence all about researches have got problems because of using equipment that Infrared(IR) LED, IR camera and head-mounted of high price. This study propose and implement the gaze recognition system based on SVM using a single PC Web camera. The proposed system that divide the gaze location of 36 per 9 and 4 to recognize gaze location of 4 direction and 9 direction recognize user's gaze. Also, the proposed system had apply on image filtering method using difference image entropy to improve performance of gaze recognition. The propose system was implements experiments on the comparison of proposed difference image entropy gaze recognition system, gaze recognition system using eye corner and eye's center and gaze recognition system based on PCA to evaluate performance of proposed system. The experimental results, recognition rate of 4 direction was 94.42% and 9 direction was 81.33% for the gaze recognition system based on proposed SVM. 4 direction was 95.37% and 9 direction was 82.25%, when image filtering method using difference image entropy implemented. The experimental results proved the high performance better than existed gaze recognition system.
Keywords
Support Vector Machine : SVM; Gaze Recognition; Difference Image Entropy;
Citations & Related Records
연도 인용수 순위
  • Reference
1 김병주, 이건표, “웹 사용성 평가를 위한 통합평가모형 제안 및 도구 개발,” 한국디자인학회 2006 봄 학술발표대회 논문집, pp.74-75, 2006.
2 Tomasz Kocejko, Adam Bujnowski, Jerzy Wtorek, “Eye Mouse for Disabled,” Human System Interactions, 2008 Conference on 25-27 May 2008.   DOI
3 김정규, 이창정, 박종승, “눈동자 검출 및 시선추적을 통한 간접인터페이스 제어 시스템,” 한국정보기술학회논문지, 제6권, 제4호, pp.158-164, 2008.
4 K. Kinoshita, Y. Ma, S. Lao, M. Kawade, “A Fast and Robust 3D Head Pose and Gaze Estimation System” Proceedings of the 8th international conference on Multimodal interfaces, ACM, pp.137-138, 2006.   DOI
5 T. E. Hutchinson, K. White, J.R. Worthy, N. Martin, C. Kelly, R. Lisa, A. Frey, “Human Computer interaction using eyegaze input,” IEEE Transaction on systems,
6 Jie Xiang, Huixia Yan, Junjie Chen, “The Study of Decoding Mental State Based Eye Tracks Using SVM,” Proceedings of the IWISA 2009, pp.568-571, 21-22 November, 2009.
7 박성훈, 이재호, 김회율, “Haar-like feature/LDA를이용한 얼굴 인식,” 2004년 제16회 영상처리 및 이해에 관한 워크샵 발표 논문집, 2004년 1월.
8 Li Su-mei, Zhang Yan-xin, Chang Sheng-jiang and Shen Jin-yuan, “Gazing-detection of human eyes based on SVM,” Optoelectronics Letters, Vol.1, No.1, pp.65-68, 7, 2005.   DOI
9 정성욱, “AdaBoost기반 실시간 얼굴 표정 인식을 위한 효과적인 사각 특징점 추출”, 한국과학기술원 석사학위 논문, 2004. 12. 14.
10 민지홍, 이원찬, 홍기천, “Haar-like feature/HMM을이용한 얼굴 검출 및 인증 시스템,” 2004년 한국정보과학회 가을 학술발표논문집 Vol.31, No.2, 2004.   과학기술학회마을
11 C.-W. Hsu and C.-J. Lin, “A comparison of methods for multiclass support vector machines,” IEEE Trans. Neural Networks, Vol.13, No.2, pp.415-425, 2002.   DOI   ScienceOn
12 Shannon, C.E. “A Mathematical Theory of Communication,” The Bell Systems Technical Journal, 27, pp.379-423, 1948.   DOI
13 L. Sirovich and M. Kirby, “Low dimensional Procedure for the Characterization of Human Faces,” J.Opt. Soc. Amer. 4, pp.519-524, 1987.   DOI
14 Erik. Hjelmas, “Face Detection : A Survey,” Computer Vision and Image Understanding, Vol.83, pp.236-274, 2001.   DOI   ScienceOn
15 Zhonglong Zheng, Jie Yang, Meng Wang, and Yonggang Wang, “A Novel Method for Eye Features Extraction,” LNCS Vol.3314, pp.1002-1007, 2005.   DOI
16 이흔진, 박현선, 김경수, 김희정, 정병희, 하명환, 김회율, "DCT/LDA를 이용한 얼굴 인식", 대한 전자공학회 하계 학술 대회 26권 제1호, pp.2024-2027, 7. 2003.
17 Alexey Karpov, Andrey Ronzhin, Alexander Nechaev, Svetlana Chernakova, “MULTIMODAL SYSTEM FOR HANDS FREE PC CONTROL,” EUSIPCO2005, 2005. 9.
18 P.Viola and M.J. Jones, “Robust real-time object detection,” Technical Report Series, Compaq Camb ridge research Laboratory, CRL 2001/01/, Feb., 2001.
19 Alexander Kuranov, Rainer Lienhart, and Vadim Pisarevsky. An Empirical Analysis of Boosting Algorithms for Rapid Objects With an Extended Set of Haar-like Features. Intel Technical Report MRL-TR-july02-01, 2002.