Gaze estimation using local features and non-linear regression

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2012, Pages 1961-1964

  Martinez, Francis ^a   Carbone, Andrea ^a   Pissaloux, Edwige ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

features extraction; gaze estimation; nonlinear regression

Indexed keywords

APPEARANCE BASED; BASIS FUNCTIONS; DESCRIPTORS; EYE TRACKERS; FEATURES EXTRACTION; GAZE ESTIMATION; GENERALIZED SOLUTION; HIGH DIMENSIONALITY; HISTOGRAMS OF ORIENTED GRADIENTS (HOG); IMAGE DESCRIPTORS; LEARNING-BASED APPROACH; LOCAL FEATURE; NON-LINEAR REGRESSION; SUPPORT VECTOR REGRESSION (SVR);

IMAGE PROCESSING;

REGRESSION ANALYSIS;

EID: 84875832894     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2012.6467271     Document Type: Conference Paper

References (13)

1. D.W. Hansen and Q. Ji, "In the eye of the beholder: A survey of models for eyes and gaze," IEEE Trans. on PAMI, 2010.
2. S. Baluja and D. Pomerleau, "Non-intrusive gaze tracking using artificial neural networks," in NIPS, 1994.
3. K.-H. Tan, D. J. Kriegman, and N. Ahuja, "Appearance-based eye gaze estimation," in WACV, 2002.
4. O. Williams, A. Blake, and R. Cipolla, "Sparse and semisupervised visual mapping with the s3gp," in CVPR, 2006.
5. F. Lu, T. Okabe, Y. Sugano, and Y. Sato, "Inferring human gaze from appearance via adaptive linear regression," in ICCV, 2011.
6. Y. Sugano, Y. Matsushita, and Y. Sato, "Calibration-free gaze sensing using saliency maps," in CVPR, 2010.
7. W.J. Ryan, A.T. Duchowski, and S.T. Birchfield, "Limbus/pupil switching for wearable eye tracking under variable lighting conditions," in ETRA, 2008.
8. B. Noris, K. Benmachiche, and A. Billard, "Calibration-free eye gaze direction detection with gaussian processes," in VISAPP, 2008.
9. B. Noris, J.-B. Keller, and A. Billard, "A wearable gaze tracking system for children in unconstrained environments," CVIU, 2011.
10. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in CVPR, 2005.
11. A. J. Smola and B. Schölkopf, "A tutorial on support vector regression," Statistics and Computing, 2004.
12. M. E. Tipping, "Sparse bayesian learning and the relevance vector machine," JMLR, 2001.
13. M. E. Tipping and A. C. Faul, "Fast marginal likelihood maximisation for sparse bayesian models," in Workshop on AI & Statistics, 2003.