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A real-time framework for eye detection and tracking

Hussein O. Hamshari, Steven S. Beauchemin
2010 Journal of Real-Time Image Processing  
We aim to detect and track the face and eyes of the driver during several driving scenarios, allowing for further understanding of a driver's visual search pattern behavior.  ...  This research proposes a real-time framework that is built upon a foundation synonymous to boosting, which we extend from learners to trackers and demonstrate that the idea of an integrated framework employing  ...  For each frame that is processed by the ROD tracker, the framework keeps track of the number of hits and misses for the left m L and right m R eyes within a detected face.  ... 
doi:10.1007/s11554-010-0178-1 fatcat:6vn574gzpjdlndv4kro4twlbja

A HRI Framework Based on Eye Tracking [chapter]

Xiaodong Zhao, Zheng Liu, Shiwei Cheng
2022 Frontiers in Artificial Intelligence and Applications  
We propose a novel HRI framework for implicit intent reasoning based on eye tracking.  ...  The framework is designed for people with normal vision, and it will track and analyze their eye movements to infer their intents in a smart home environment.  ...  Acknowledgement We thank all the volunteers, and the grant from Natural Science Foundation of China (No.62172368, 61772468), Fundamental Research Funds for the Provincial Universities of Zhejiang (No.RF-B2019001  ... 
doi:10.3233/faia220048 fatcat:wv5bgutlnzckzgd24wh25ybc5q

REAL TIME EYE TRACKING FOR PASSWORD AUTHENTICATION

T R Muhibur Rahman, Department of Computer Science & Engineering Ballari Institute of Technology and Management Ballari, India
2020 International Journal of Advanced Research in Computer Science  
The use of real time eye tracking and password authentication system has a wider possibility for reliability, but in this case the system must be secure and restrained for Eye Detection and Tracking.  ...  This project is focused on a real time hands off and gaze based PIN entry , detecting the eye position and tracking the eye movement using the smart camera.  ...  Fig 3 . 3 System overview of Eye movement-related EEG for real time BMI ∑ Methodology : Fig 4 . 4 Digital keypad for eye gazing and tracking Fig. 5 . 5 NI Smart camera and Eye tracking systemALGORITHM  ... 
doi:10.26483/ijarcs.v11i3.6599 fatcat:ndi6sg2kmvdujg3yewbbygep6y

COBVIS-D: A Computer Vision System for Describing the Cephalo-Ocular Behavior of Drivers in a Driving Simulator [chapter]

Steven Beauchemin, Parisa Darvish Zadeh Varcheie, Langis Gagnon, Denis Laurendeau, Martin Lavallière, Thierry Moszkowicz, Florent Prel, Normand Teasdale
2009 Lecture Notes in Computer Science  
The different components of the system are described and results are provided for each one.  ...  This paper describes current research combining computer vision, virtual reality and kinesiology for analyzing the cephalo-ocular behavior of drivers in realistic driving contexts.  ...  Acknowledgments.The authors wish to acknowledge the financial support of the Auto21 Network of Centers of Excellence and of the Société d'assurance automobile du Québec (SAAQ).  ... 
doi:10.1007/978-3-642-02611-9_60 fatcat:jmvvtev55nf4xaiput3k75bivq

Real-Time Face Detection And Tracking For Security System

Imran Raza Khan, Mohammad Danish
2017 Zenodo  
This paper describes the technique for real time human face detection and tracking using a modified version of the algorithm suggested by Paul viola and Michael Jones.  ...  Viola Jones algorithm was based on object detection by extracting some specific features from the image. We used the same approach for real time human face detection and tracking.  ...  Facial feature extraction locates important feature (eyes, mouth, nose and eye-brows) positions within a detected Face. face. Face detection Real time input is taken in the video format.  ... 
doi:10.5281/zenodo.806203 fatcat:4xp5waivczdrfh4ye5zlugpnca

Development Of An Empirical Model To Assess Attention Level And Control Driver'S Attention

Munira Akter Lata, Md Mahmudur Rahman, Mohammad Abu Yousuf, Md. Ibrahim Al Ananya, Devzani Roy, Alvi Mahadi
2018 Zenodo  
This study focuses a vision based framework to monitor driver's attention level in real time by using Microsoft Kinect for Windows sensor V2.  ...  Experimental result illustrates the quite well functionality of the framework with 11 participants and measures the attention level of participants with equitable precision.  ...  This study represents a vision based framework to monitor the driver's attention level in real time by using Microsoft Kinect for Windows sensor V2.  ... 
doi:10.5281/zenodo.1189294 fatcat:d7qhlqtrbndcvewi2beyefrfmm

A VidEo-Based Intelligent Recognition and Decision System for the Phacoemulsification Cataract Surgery

Shu Tian, Xu-Cheng Yin, Zhi-Bin Wang, Fang Zhou, Hong-Wei Hao
2015 Computational and Mathematical Methods in Medicine  
Here we develop a VidEo-Based Intelligent Recognitionand Decision (VEBIRD) system, which breaks new ground by providing a generic framework for automatically tracking the operation process and classifying  ...  VEBIRD comprises a robust eye (iris) detector with randomized Hough transform to precisely locate the eye in the noise background, an effective probe tracker with Tracking-Learning-Detection to thereafter  ...  Acknowledgments The authors thank Professor Siquan Zhu at Beijing Tongren Hospital for the data support.  ... 
doi:10.1155/2015/202934 pmid:26693249 pmcid:PMC4674576 fatcat:r3lwpjhi65hkfbr547yryynshm

Content-Aware Eye Tracking for Autostereoscopic 3D Display

Dongwoo Kang, Jingu Heo
2020 Sensors  
This study presents a robust, automated algorithm and relevant systems for accurate and fast detection and tracking of eye pupil centers in 3D with a single visual camera and near-infrared (NIR) light  ...  The conducted experiments on real image DBs yield promising eye detection and tracking outcomes, even in the presence of challenging conditions.  ...  The allowed accuracy of the eye tracking position and tracking speed for our real-time 3D system prototypes were described in our previous study [2] .  ... 
doi:10.3390/s20174787 pmid:32854229 fatcat:nyozoqhbf5gwrjvwzky35yv5au

Automatic Facial Recognition and Surveillance System

Yash Patel
2018 International Journal for Research in Applied Science and Engineering Technology  
The framework is a client-server based face recognition surveillance in the real-time.  ...  In this paper we proposed a criminal detection framework that could help policemen to recognize the face of a criminal or a suspect.  ...  Face detection achieves a real-time performance through Viola-Jones framework where its detection rates are competitive with some of the best methods to date in terms of both performance and running time  ... 
doi:10.22214/ijraset.2018.3346 fatcat:sdowykkzlnftfehp674dqrqxvy

Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications [article]

Idris Jeelani, Khashayar Asadi, Hariharan Ramshankar, Kevin Han, Alex Albert
2019 arXiv   pre-print
Recent studies have also found that a strong correlation exists between viewing patterns of workers, captured using eye-tracking devices, and their hazard recognition performance.  ...  The proposed method detects these areas or objects (i.e., hazards) of interests through a computer vision-based segmentation technique and transfer learning.  ...  AUTHOR CONTRIBUTION STATEMENT The authors confirm contribution to the paper as follows: study conception and design: Idris jeelani, Khashayar  ... 
arXiv:1901.11078v2 fatcat:2q32v5pax5anzek57ejvive5t4

Mouse Handling Using Facial Features
IJARCCE - Computer and Communication Engineering

Neha Nikhade, Maninee Chaki, Nazneen Shaikh, A.B. Lamgunde
2015 IJARCCE  
HCI aims to improve the interactions between users and computers by making computers more user friendly .The paper presents a system for eye blink detection and head movements for communication between  ...  Our system provides a comprehensive solution to control computer mouse cursor movement with eye-blinks and head movement for people with special needs.  ...  In this paper we propose a real time face detection and tracking algorithm for video sequences. In recent years many methods, algorithms have been proposed for detection of face.  ... 
doi:10.17148/ijarcce.2015.4239 fatcat:orubko2jkjfypc2j72m6ib6jj4

Multi-GPU based framework for real-time motion analysis and tracking in multi-user scenarios

Sidi Ahmed Mahmoudi
2015 EAI Endorsed Transactions on Creative Technologies  
Based on this framework, we developed several real-time and GPU based video processing applications such as motion detection using moving camera, event detection and event localization  ...  Video processing algorithms present a necessary tool for various domains related to computer vision such as motion tracking, event detection and localization in multi-user scenarios (crowd videos, mobile  ...  In this context, we propose an application for real-time background subtraction, which enables to detect automatically background and foreground using a moving camera.  ... 
doi:10.4108/ct.2.2.e5 fatcat:izmwhk6bwrekbi33zwhdwyjrfe

Using Eye-Gaze and Visualization to Augment Memory [chapter]

Jason Orlosky, Takumi Toyama, Daniel Sonntag, Kiyoshi Kiyokawa
2014 Lecture Notes in Computer Science  
In this paper, we propose a framework that uses an eyetracking interface to store pieces of forgotten information and present them back to the user later with an integrated head mounted display (HMD).  ...  We demonstrate the system's ability to recall information with the example of a lost book page by detecting when the user reads the book again and intelligently presenting the last read position back to  ...  Another thanks to friends, family, and mentors for continued support and encouragement.  ... 
doi:10.1007/978-3-319-07788-8_27 fatcat:vc6b3j4pnrblbl52p5zftfpyvy

Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras [article]

Zhengxia Zou, Rusheng Zhang, Shengyin Shen, Gaurav Pandey, Punarjay Chakravarty, Armin Parchami, Henry X. Liu
2022 arXiv   pre-print
The proposed framework covers a full-stack of roadside perception pipeline for infrastructure-assisted autonomous driving, including object detection, object localization, object tracking, and multi-camera  ...  Our framework is deployed at a two-lane roundabout located at Ellsworth Rd. and State St., Ann Arbor, MI, USA, providing 7x24 real-time traffic flow monitoring and high-precision vehicle trajectory extraction  ...  Fig. 1 : 1 Fig. 1: We propose a vision-based solution for real-time traffic object detection, localization, information fusion, and tracking.  ... 
arXiv:2206.09770v1 fatcat:nr4tbimp4rgg5lntolkv2wxyda

Improving Mobile Device Interaction by Eye Tracking Analysis

Carmelo Pino, Isaak Kavasidis
2012 Conference on Computer Science and Information Systems  
The application uses a Haar classifier based detection module for identifying the eyes in the acquired images and subsequently the CAMSHIFT algorithm to find and track the eyes movement and detect the  ...  By tracking and interpreting the user's gaze to the smartphone's screen coordinates the user can interact with the device by using a more natural and spotaneous way.  ...  In particular, by using the phone's camera and the appropriate image processing techniques, our system is able to detect and track the eyes position in real-time and interpret it in screen coordinates  ... 
dblp:conf/fedcsis/PinoK12 fatcat:xj3kzzgywnanfpnnsr5kcqrj2e
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