• Corpus ID: 9863826

A Survey on Methods and Models of Eye Tracking, Head Pose and Gaze Estimation

@article{Gaur2014ASO,
  title={A Survey on Methods and Models of Eye Tracking, Head Pose and Gaze Estimation},
  author={Rohit P. Gaur and Krupa N. Jariwala},
  journal={Journal of emerging technologies and innovative research},
  year={2014}
}
  • R. P. Gaur, K. Jariwala
  • Published 1 October 2014
  • Computer Science
  • Journal of emerging technologies and innovative research
Eye tracking and Gaze estimation are the most challenging areas in computer vision. Even though we have achieved a significant progress in the last few decades, some domains are still facing the limitations. Be it the lack of accuracy due to the design of fovea or the tracking challenges in visible spectrum, this paper covers an in-depth research survey of the recent as well as the archaic methods and models used for eye tracking, head pose and gaze estimation. Index Terms – Eye detection and… 

Figures from this paper

Gaze Tracking in Visible Spectrum Extending Head Pose Estimation
TLDR
The approach is to estimate gaze from a simple webcam without restricting the head movements without needing an additional work to perfect the y plane as the eye movements are less visible here compared to the x plane.
'Owl' and 'Lizard': patterns of head pose and eye pose in driver gaze classification
TLDR
This paper estimates head pose and eye pose from monocular video using methods developed extensively in prior work and describes how that accuracy varies between people, gaze strategies, and gaze regions.
Mobile-Based Eye-Blink Detection Performance Analysis on Android Platform
TLDR
A real-time mobile phone-based gaze tracking and eye-blink detection system on Android platform developed by finding the greatest circle – pupil of an eye by combining the both Haar classifier and Normalized Summation of Square of Difference template matching method, which has high detection accuracy and low time-consumption.
Machine Learning for Single and Complex 3D Head Gestures: Classification in Human-Computer Interaction
TLDR
A new Hidden Markov Model based approach for fast and automatic detection and classification of head movements in real time dynamic videos and doesn’t need any user intervention or previous knowledge of its environment to be effective.
Semi-Automated Annotation of Discrete States in Large Video Datasets
TLDR
This work proposes a framework for semi-automated annotation of video frames where the video is of an object that at any point in time can be labeled as being in one of a finite number of discrete states and achieves a 13x reduction in manual annotation.
A Technique of Feature Vector Generation for Eye Region Using Embedded Information of Various Color Spaces
TLDR
This study design and develop a feature vector generation technique of face for making animation caricatures using methods for face detection which are previous stage of face recognition.

References

SHOWING 1-10 OF 63 REFERENCES
Passive driver gaze tracking with active appearance models
TLDR
A monocular driver gaze tracking system which uses a global head model, specifically an Active Appearance Model (AAM), to track the whole head and then uses the eye corners, eye region, and head pose to estimate the gaze.
Passive Driver Gaze Tracking with Active Appearance Models (特集 センシング技術)
TLDR
A passive driver gaze tracking system which uses a global head model, specifically an Active Appearance Model (AAM), to track the whole head and then uses the eye corners, eye region, and head pose to estimate the gaze.
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
  • D. Hansen, Q. Ji
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2010
TLDR
This review shows that, despite their apparent simplicity, the development of a general eye detection technique involves addressing many challenges, requires further theoretical developments, and is consequently of interest to many other domains problems in computer vision and beyond.
Real-time stereo tracking for head pose and gaze estimation
TLDR
A real-time stereo vision system which determines the head pose and gaze direction of a human subject and its accuracy makes it useful for a number of applications including human/computer interaction, consumer research and ergonomic assessment.
Remote gaze estimation with a single camera based on facial-feature tracking without special calibration actions
TLDR
A real-time gaze estimation method based on facial-feature tracking using a single video camera that does not require any special user action for calibration and can be realized by combining 3D eye-model-based gaze estimation and circle-based algorithms for eye- model calibration.
Evaluation of pupil center-eye corner vector for gaze estimation using a web cam
TLDR
A thorough study has been carried out to evaluate pupil (iris) center-eye corner (PC-EC) vector as feature for gaze estimation based on interpolation methods in low cost eye tracking, as it is considered to be partially equivalent to the pupil center-corneal reflection vector.
Appearance-based eye gaze estimation
  • K. Tan, D. Kriegman, N. Ahuja
  • Computer Science
    Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings.
  • 2002
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking specific optical
Behavior recognition based on head pose and gaze direction measurement
  • Y. Matsumoto, T. Ogasawara, A. Zelinsky
  • Computer Science
    Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113)
  • 2000
TLDR
A behavior recognition system based on the real-time stereo face tracking and gaze detection system to measure head pose and gaze direction simultaneously and can significantly simplify the algorithm for 3D model fitting to obtain the full 3D pose of the head compared with conventional systems that use monocular camera.
An algorithm for real-time stereo vision implementation of head pose and gaze direction measurement
  • Y. Matsumoto, A. Zelinsky
  • Computer Science
    Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)
  • 2000
TLDR
This work describes their real-time stereo face tracking and gaze detection system to measure head pose and gaze direction simultaneously, which can significantly simplify the algorithm for 3D model fitting to obtain the full 3D pose of the head compared with conventional systems that use monocular camera.
Dual-state parametric eye tracking
  • Ying-li Tian, T. Kanade, J. Cohn
  • Computer Science
    Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)
  • 2000
TLDR
This work develops a dual-state model-based system for tracking eye features that uses convergent tracking techniques and shows how it can be used to detect whether the eyes are open or closed, and to recover the parameters of the eye model.
...
1
2
3
4
5
...