Eye Gaze Tracking

Eye gaze is defined as the line of sight of a person. It represents a person's focus of attention. Eye gaze tracking has been an active research topic for many decades because of its potential usages in various applications such as Human Computer Interaction (HCI), Virtual Reality, Eye Disease Diagnosis and Human Behavior Study, etc.

	Kang Wang, Hui Su and Qiang Ji. Neural-inspired Eye Tracking with Eye Movement Dynamics. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [pdf]
	Kang Wang, Rui Zhao, Hui Su and Qiang Ji. Generalizing Eye Tracking with Bayesian Adversarial Learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [pdf]
	Kang Wang, Rui Zhao and Qiang Ji. A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [pdf]
	Kang Wang and Qiang Ji. 3D Gaze Estimation without Explicit Personal Calibration. Pattern Recognition, 2018. [pdf]
	Kang Wang and Qiang Ji. Real Time Eye Gaze Tracking with 3D Deformable Eye-Face Model. IEEE International Conference on Computer Vision (ICCV), 2017. [pdf]
	Kang Wang, Shen Wang, and Qiang Ji. Deep Eye Fixation Map Learning for Calibration-Free Eye Gaze Tracking (Oral). Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), 2016. [pdf]
	Kang Wang and Qiang Ji. Hybrid Model and Appearance based Eye Tracking with Kinect. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), 2016. [pdf]
	Kang Wang and Qiang Ji. Real Time Eye Gaze Tracking with Kinect. International Conference on Pattern Recognition (ICPR), 2016. [pdf]
	Jixu Chen and Qiang Ji. A Probabilistic Approach to Online Eye Gaze Tracking Without Explicit Personal Calibration. Image Processing, IEEE Transactions on, 2015. [pdf]
	Jixu Chen and Qiang Ji. Probabilistic gaze estimation without active personal calibration. Computer Vision and Pattern Recognition (CVPR), 2011. [pdf]
	William Maio, Jixu Chen and Qiang Ji. Constraint-based Gaze EstimationWithout Active Calibration. Automatic Face \& Gesture Recognition and Workshops (FG 2011). [pdf]
	D.W. Hansen and Qiang Ji. In the Eye of the Beholder: A Survey of Models for Eyes and Gaze. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2010. [pdf]
	Jixu Chen and Qiang Ji. 3D Gaze Estimation with a Single Camera without IR Illumination. International Conference on Pattern Recognition (ICPR), 2008. [pdf]
	Jixu Chen, Yan Tong, Wayne Gray and Qiang Ji. A robust 3D eye gaze tracking system using noise reduction. Proceedings of the 2008 symposium on Eye tracking research \& applications, 2008. [pdf]
	Zhiwei Zhu and Qiang Ji. Novel Eye Gaze Tracking Techniques Under Natural Head Movement. IEEE Transactions on Biomedical Engineering, 2007. [pdf]
	Zhiwei Zhu, Qiang Ji and Kristin P. Bennett. Nonlinear eye gaze mapping function estimation via support vector regression. Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, 2006. [pdf]
	Zhiwei Zhu and Qiang Ji. Eye gaze tracking under natural head movements. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on , 2005. [pdf]
	Zhiwei Zhu and Qiang Ji. Eye and Gaze Tracking for Interactive Graphic Display. Machine Vision and Application, 2004. [pdf]
	S.M. Kim, M. Sked and Qiang Ji. Non-intrusive Eye Gaze Tracking Under Natural Head Movements. Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE, 2004. [pdf]
	. Qiang Ji and Xiaojie Yang. Real-time eye, gaze, and face pose tracking for monitoring driver vigilance. Real-Time Imaging, 2002. [pdf]

Eye Detection and Tracking

As one of the most salient features of human face, eyes play an important role in interpreting and understanding a person's desires, needs, and emotional states. In particular, the eye-gazes, indicating where a person is looking, can reveal the person's focus of attention. A good eye tracker is a prerequisite of eye gaze monitoring. Robust techniques for eye detection are of particular importance to eye-gaze tracking systems. Information about the eyes can also be used to detect human faces, which will be further analyzed to obtain the face pose information.

	Chao Gou, Yue Wu, Kang Wang, Kunfeng Wang, Fei-Yue Wang and Qiang Ji. A Joint Cascaded Framework for Simultaneous Eye Detection and Eye State Estimation. Pattern Recognition, 2017. [pdf]
	Chao Gou, Yue Wu, Kang Wang, Feiyue Wang and Qiang Ji. Learning-By-Synthesis for Accurate Eye Detection. International Conference on Pattern Recognition (ICPR), 2016. [pdf]
	Zhiwei Zhu and Qiang Ji. Robust Real-time Eye Detection and Tracking Under Variable Lighting Conditions and Various Face Orientations. Computer Vision and Image Understanding, Special Issue on Eye Detection and Tracking, 2005. [pdf]
	Zhiwei Zhu, Qiang Ji, Kikuo Fujimura and Kuang-chih Lee. Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking Under Active IR Illumination. International Conference on Pattern Recognition (ICPR), 2002. [pdf]
	Zhiwei Zhu, Kikuo Fujimura and Qiang Ji. Real-Time Eye Detection and Tracking Under Various Light Conditions. In Proceedings of ACM SIGCHI Symposium on Eye Tracking Research and Applications (ETRA), 25-27 March 2002. [pdf]

Eye Detection and Eye Gaze Tracking

Eye Gaze Tracking

Eye Detection and Tracking

Demos

Eye gaze tracking under natural lights

Real time head pose and eye gaze tracking for large display

Model-based eye gaze tracking

Appearance-based eye gaze tracking

Eye gaze tracking under infrared lights

Eyes and glints under infrared illumination

Map navigation with eye gaze

Grid navigation with eye gaze

Laser pointer following with eye gaze