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Saccades are extremely rapid movements of both eyes that occur simultaneously, typically observed when an individual shifts their focus from one object to another. These movements are among the swiftest produced by humans and possess the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Khadija Iddrisu , Waseem Shariff , Suzanne Little

Video-based eye tracking is a valuable technique in various research fields. Numerous open-source eye tracking algorithms have been developed in recent years, primarily designed for general application with many different camera types.…

Computer Vision and Pattern Recognition · Computer Science 2017-06-28 Terence Brouns

Eye tracking is an important tool with a wide range of applications in Virtual, Augmented, and Mixed Reality (VR/AR/MR) technologies. State-of-the-art eye tracking methods are either reflection-based and track reflections of sparse point…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Tianfu Wang , Jiazhang Wang , Oliver Cossairt , Florian Willomitzer

We present a new and accurate approach for gaze estimation on consumer computing devices. We take advantage of continued strides in the quality of user-facing cameras found in e.g., smartphones, laptops, and desktops - 4K or greater in…

Human-Computer Interaction · Computer Science 2026-03-23 Taejun Kim , Vimal Mollyn , Riku Arakawa , Chris Harrison

Eye-tracking plays a crucial role in the development of virtual reality devices, neuroscience research, and psychology. Despite its significance in numerous applications, achieving an accurate, robust, and fast eye-tracking solution remains…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Jiazhang Wang , Tianfu Wang , Bingjie Xu , Oliver Cossairt , Florian Willomitzer

We present software to detect noise in eye position signals from video-based eye-tracking systems that depend on accurate pupil and corneal reflection position estimation. When such systems transiently fail to properly detect the pupil or…

Computer Vision and Pattern Recognition · Computer Science 2017-09-11 Evgeny Abdulin , Lee Friedman , Oleg V. Komogortsev

We present a novel, automatic eye gaze tracking scheme inspired by smooth pursuit eye motion while playing mobile games or watching virtual reality contents. Our algorithm continuously calibrates an eye tracking system for a head mounted…

Computer Vision and Pattern Recognition · Computer Science 2016-12-22 Subarna Tripathi , Brian Guenter

Fast and accurate eye tracking in a virtual reality or augmented reality headset could lead to better display performance and enable novel methods of user interaction with the system. However, it remains a challenge for a system to combine…

We present a novel object tracking scheme that can track rigid objects in real time. The approach uses subpixel-precise image edges to track objects with high accuracy. It can determine the object position, scale, and rotation with…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Tobias Böttger , Markus Ulrich , Carsten Steger

Accurate detection and tracking of objects is vital for effective video understanding. In previous work, the two tasks have been combined in a way that tracking is based heavily on detection, but the detection benefits marginally from the…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Zheng Zhang , Dazhi Cheng , Xizhou Zhu , Stephen Lin , Jifeng Dai

This paper presents a renewed overview of photosensor oculography (PSOG), an eye-tracking technique based on the principle of using simple photosensors to measure the amount of reflected (usually infrared) light when the eye rotates.…

Computer Vision and Pattern Recognition · Computer Science 2017-07-20 Ioannis Rigas , Hayes Raffle , Oleg V. Komogortsev

Object tracking is one of the most important problems in computer vision. The aim of video tracking is to extract the trajectories of a target or object of interest, i.e. accurately locate a moving target in a video sequence and…

Computer Vision and Pattern Recognition · Computer Science 2020-03-19 Niloufar Salehi Dastjerdi , M. Omair Ahmad

To overcome the problem of occlusion in visual tracking, this paper proposes an occlusion-aware tracking algorithm. The proposed algorithm divides the object into discrete image patches according to the pixel distribution of the object by…

Computer Vision and Pattern Recognition · Computer Science 2021-04-19 Rongtai Caiand Peng Zhu

This paper presents a robust tracking approach to handle challenges such as occlusion and appearance change. Here, the target is partitioned into a number of patches. Then, the appearance of each patch is modeled using a dictionary composed…

Computer Vision and Pattern Recognition · Computer Science 2015-06-18 Ali Zarezade , Hamid R. Rabiee , Ali Soltani-Farani , Ahmad Khajenezhad

A custom head-mounted system to track smooth eye movements for control of a mouse cursor is implemented and evaluated. The system comprises a head-mounted infrared camera, an infrared light source, and a computer. Software-based image…

Human-Computer Interaction · Computer Science 2020-12-01 Adam Pantanowitz , Kimoon Kim , Chelsey Chewins , Isabel N. K. Tollman , David M. Rubin

Most tracking-by-detection methods employ a local search window around the predicted object location in the current frame assuming the previous location is accurate, the trajectory is smooth, and the computational capacity permits a search…

Computer Vision and Pattern Recognition · Computer Science 2016-05-09 Gao Zhu , Fatih Porikli , Hongdong Li

Most tracking-by-detection methods employ a local search window around the predicted object location in the current frame assuming the previous location is accurate, the trajectory is smooth, and the computational capacity permits a search…

Computer Vision and Pattern Recognition · Computer Science 2015-12-01 Gao Zhu , Fatih Porikli , Hongdong Li

While for the evaluation of robustness of eye tracking algorithms the use of real-world data is essential, there are many applications where simulated, synthetic eye images are of advantage. They can generate labelled ground-truth data for…

Computer Vision and Pattern Recognition · Computer Science 2015-11-25 Thomas C. Kübler , Tobias Rittig , Judith Ungewiss , Christina Krauss , Enkelejda Kasneci

Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Kevin Barkevich , Reynold Bailey , Gabriel J. Diaz

Eye tracking is handled as one of the key technologies for applications that assess and evaluate human attention, behavior, and biometrics, especially using gaze, pupillary, and blink behaviors. One of the challenges with regard to the…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Efe Bozkir , Ali Burak Ünal , Mete Akgün , Enkelejda Kasneci , Nico Pfeifer
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