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Dissertations / Theses on the topic 'Eye detection'

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1

Hossain, Akdas, and Emma Miléus. "Eye Movement Event Detection for Wearable Eye Trackers." Thesis, Linköpings universitet, Matematik och tillämpad matematik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129616.

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Eye tracking research is a growing area and the fields as where eye trackingcould be used in research are large. To understand the eye tracking data dif-ferent filters are used to classify the measured eye movements. To get accu-rate classification this thesis has investigated the possibility to measure bothhead movements and eye movements in order to improve the estimated gazepoint.The thesis investigates the difference in using head movement compensationwith a velocity based filter, I-VT filter, to using the same filter without headmovement compensation. Further on different velocity thresho
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Trejo, Guerrero Sandra. "Model-Based Eye Detection and Animation." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7059.

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<p>In this thesis we present a system to extract the eye motion from a video stream containing a human face and applying this eye motion into a virtual character. By the notation eye motion estimation, we mean the information which describes the location of the eyes in each frame of the video stream. Applying this eye motion estimation into a virtual character, we achieve that the virtual face moves the eyes in the same way than the human face, synthesizing eye motion into a virtual character. In this study, a system capable of face tracking, eye detection and extraction, and finally iris posi
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Miao, Yufan. "Landmark Detection for Mobile Eye Tracking." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301499.

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Mobile eye tracking studies in urban environments can provide important insights into several processes of human behavior, ranging from wayfinding to human-environment interaction. The analysis of this kind of eye tracking data are based on a semi-manual or even sometimes completely manual process, consuming immense post-processing time. In this thesis, we propose an approach based on computer vision methods that allows fully automatic analysis of eye tracking data, captured in an urban environment. We present our approach, as well as the results of three experiments that were conducted in ord
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Bandara, Indrachapa Buwaneka. "Driver drowsiness detection based on eye blink." Thesis, Bucks New University, 2009. http://bucks.collections.crest.ac.uk/9782/.

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Accidents caused by drivers’ drowsiness behind the steering wheel have a high fatality rate because of the discernible decline in the driver’s abilities of perception, recognition, and vehicle control abilities while sleepy. Preventing such accidents caused by drowsiness is highly desirable but requires techniques for continuously detecting, estimating, and predicting the level of alertness of drivers and delivering effective feedback to maintain maximum performance. The main objective of this research study is to develop a reliable metric and system for the detection of driver impairment due
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Yi, Fei. "Robust eye coding mechanisms in humans during face detection." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/31011/.

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We can detect faces more rapidly and efficiently compared to non-face object categories (Bell et al., 2008; Crouzet, 2011), even when only partial information is visible (Tang et al., 2014). Face inversion impairs our ability to recognise faces. The key to understand this effect is to determine what special face features are processed and how coding of these features is affected by face inversion. Previous studies from our lab showed coding of the contralateral eye in an upright face detection task, which was maximal around the N170 recorded at posterior-lateral electrodes (Ince et al., 2016b;
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Anderson, Travis M. "Motion detection algorithm based on the common housefly eye." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1400965531&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Samadzadegan, Sepideh. "Automatic and Adaptive Red Eye Detection and Removal : Investigation and Implementation." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-77977.

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Redeye artifact is the most prevalent problem in the flash photography, especially using compact cameras with built-in flash, which bothers both amateur and professional photographers. Hence, removing the affected redeye pixels has become an important skill. This thesis work presents a completely automatic approach for the purpose of redeye detection and removal and it consists of two modules: detection and correction of the redeye pixels in an individual eye, detection of two red eyes in an individual face.This approach is considered as a combination of some of the previous attempts in the ar
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Vidal, Diego Armando Benavides. "A Kernel matching approach for eye detection in surveillance images." reponame:Repositório Institucional da UnB, 2016. http://repositorio.unb.br/handle/10482/24112.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecânica, 2016.<br>Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2017-06-27T13:16:54Z No. of bitstreams: 1 2016_DiegoArmandoBenavidesVidal.pdf: 6256311 bytes, checksum: 032b7fb7441d8dc32be590f67a1be876 (MD5)<br>Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-08-15T10:55:01Z (GMT) No. of bitstreams: 1 2016_DiegoArmandoBenavidesVidal.pdf: 6256311 bytes, checksum: 032b7fb7441d8dc32be590f67a1be876 (MD5)<br>Made available in DSpace on 2017-08-15T10:55:01Z (G
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Ignat, Simon, and Filip Mattsson. "Eye Blink Detection and Brain-Computer Interface for Health Care Applications." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200571.

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Tesárek, Viktor. "Detekce mrkání a rozpoznávání podle mrkání očí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217560.

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This master thesis deals with the issues of the eye blink recognition from video. The main task is to analyse algorithms dealing with a detection of persons and make a program that could recognize the eye blink. Analysis of these algorithms and their problems are in the first part of this thesis. In the second part design and properties of my program are described. The realization of the program is based on the method of move detection using the accumulated difference frame, which helps to identify the eye areas. The eye blink detection algorithm tests a match between a tresholded pattern of t
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Malla, Amol Man. "Automated video-based measurement of eye closure using a remote camera for detecting drowsiness and behavioural microsleeps." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/2111.

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A device capable of continuously monitoring an individual’s levels of alertness in real-time is highly desirable for preventing drowsiness and lapse related accidents. This thesis presents the development of a non-intrusive and light-insensitive video-based system that uses computer-vision methods to localize face, eyes, and eyelids positions to measure level of eye closure within an image, which, in turn, can be used to identify visible facial signs associated with drowsiness and behavioural microsleeps. The system was developed to be non-intrusive and light-insensitive to make it practical
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Mergenthaler, Konstantin K. "The control of fixational eye movements." Phd thesis, Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2009/2939/.

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In normal everyday viewing, we perform large eye movements (saccades) and miniature or fixational eye movements. Most of our visual perception occurs while we are fixating. However, our eyes are perpetually in motion. Properties of these fixational eye movements, which are partly controlled by the brainstem, change depending on the task and the visual conditions. Currently, fixational eye movements are poorly understood because they serve the two contradictory functions of gaze stabilization and counteraction of retinal fatigue. In this dissertation, we investigate the spatial and temporal pr
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CUBA, GYLLENSTEN OLLANTA. "Evaluation of classification algorithms for smooth pursuit eye movements : Evaluating current algorithms for smooth pursuit detection on Tobii Eye Trackers." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155899.

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Eye tracking is a field that has been growing immensely over the last decade. Accompanying this growth is a need for simplified and automatic analysis of eye tracking data. A part of that analysis is eye movement classification, and while there are many adequate classification methods for fixations and saccades, the tools for smooth pursuit classification are still lacking. This thesis gives an overview of the field,and analyses five different methods for classifying smooth pursuits, fixations,and saccades. The analysis also explores evaluation methods that avoid the laborious way of manually
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Sung, Wei-Hong. "Investigating minimal Convolution Neural Networks (CNNs) for realtime embedded eye feature detection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281338.

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With the rapid rise of neural networks, many tasks that used to be difficult to complete in traditional methods can now be solved well, especially in the computer vision field. However, as the tasks we have to solve have become more and more complex, the neural networks we use are becoming deeper and larger. Therefore, although some embedded systems are powerful nowadays, most embedded systems still suffer from memory and computation limitations, which means it is hard to deploy our large neural networks on these embedded devices. This project aims to explore different methods to compress the
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Einestam, Ragnar, and Karl Casserfelt. "PiEye in the Wild: Exploring Eye Contact Detection for Small Inexpensive Hardware." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20696.

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Ögonkontakt-sensorer skapar möjligheten att tolka användarens uppmärksamhet, vilketkan användas av system på en mängd olika vis. Dessa inkluderar att skapa nya möjligheterför människa-dator-interaktion och mäta mönster i uppmärksamhet hos individer.I den här uppsatsen gör vi ett försök till att konstruera en ögonkontakt-sensor med hjälpav en Raspberry Pi, med målet att göra den praktisk i verkliga scenarion. För att fastställaatt den är praktisk satte vi upp ett antal kriterier baserat på tidigare användning avögonkontakt-sensorer. För att möta dessa kriterier valde vi att använda en maskininl
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Harms, Looström Julia, and Emma Frisk. "Bird's-eye view vision-system for heavy vehicles with integrated human-detection." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54527.

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Barbieri, Gillian Sylvia Anna-Stasia. "The role of spatial derivatives in feature detection." Thesis, University of Birmingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368742.

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Pesin, Jimy. "Detection and removal of eyeblink artifacts from EEG using wavelet analysis and independent component analysis /." Online version of thesis, 2007. http://hdl.handle.net/1850/8952.

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Patel, Brindal A. "R-Eye| An image processing-based embedded system for face detection and tracking." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10141532.

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<p> The current project presents the development of R-Eye, a face detection and tracking system implemented as an embedded device based on the Arduino microcontroller. The system is programmed in Python using the Viola-Jones algorithm for image processing. Several experiments designed to measure and compare the performance of the system under various conditions show that the system performs well when used with an integrated camera, reaching a 93% face recognition accuracy for a clear face. The accuracy is lower when detecting a face with accessories, such as a pair of eyeglasses (80%), or when
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Carroll, Joshua Adam. "Eye-safe UV stand-off Raman spectroscopy for explosive detection in the field." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/80879/1/Joshua_Carroll_Thesis.pdf.

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This project focused on maximising the detection range of an eye-safe stand-off Raman system for use in detecting explosives. Investigation of the effect on detection range through differing laser parameters in this thesis provided optimal laser settings to achieve the largest possible detection range of explosives, while still remaining under the eye-safe limit.
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Giesel, M., A. Yakovleva, Marina Bloj, A. R. Wade, A. M. Norcia, and J. M. Harris. "Relative contributions to vergence eye movements of two binocular cues for motion-in-depth." Springer Nature Group, 2019. http://hdl.handle.net/10454/17514.

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Yes<br>When we track an object moving in depth, our eyes rotate in opposite directions. This type of “disjunctive” eye movement is called horizontal vergence. The sensory control signals for vergence arise from multiple visual cues, two of which, changing binocular disparity (CD) and inter-ocular velocity differences (IOVD), are specifically binocular. While it is well known that the CD cue triggers horizontal vergence eye movements, the role of the IOVD cue has only recently been explored. To better understand the relative contribution of CD and IOVD cues in driving horizontal vergence, we re
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Richards, Othello Lennox. "When Eyes and Ears Compete: Eye Tracking How Television News Viewers Read and Recall Pull Quote Graphics." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6801.

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This study applied dual processing theory, the theory of working memory, and the theory of cue summation to examine how the video and audio in a television news story interact with or against each other when the story uses pull quote graphics to convey key information to viewers. Using eye-tracking, the study produced visual depictions of exactly what viewers look at on the screen when the words in the reporter's voice track match the text in the pull quote graphic verbatim, when the reporter summarizes the text in the graphic, and when the reporter's voice track ignores the text in the pull q
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Chaudhuri, Matthew Alan. "Optimization of a hardware/software coprocessing platform for EEG eyeblink detection and removal /." Online version of thesis, 2008. http://hdl.handle.net/1850/8967.

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Husseini, Orabi Ahmed. "Multi-Modal Technology for User Interface Analysis including Mental State Detection and Eye Tracking Analysis." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36451.

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We present a set of easy-to-use methods and tools to analyze human attention, behaviour, and physiological responses. A potential application of our work is evaluating user interfaces being used in a natural manner. Our approach is designed to be scalable and to work remotely on regular personal computers using expensive and noninvasive equipment. The data sources our tool processes are nonintrusive, and captured from video; i.e. eye tracking, and facial expressions. For video data retrieval, we use a basic webcam. We investigate combinations of observation modalities to detect and extract af
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Shojaeizadeh, Mina. "Automatic Detection of Cognitive Load and User's Age Using a Machine Learning Eye Tracking System." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-dissertations/476.

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As the amount of information captured about users increased over the last decade, interest in personalized user interfaces has surged in the HCI and IS communities. Personalization is an effective means for accommodating for differences between individuals. The fundamental idea behind personalization rests on the notion that if a system can gather useful information about the user, generate a relevant user model and apply it appropriately, it would be possible to adapt the behavior of a system and its interface to the user at the individual level. Personal-ization of a user interface features
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Coetzer, Reinier Casper. "Development of a robust active infrared-based eye tracking system." Diss., University of Pretoria, 2011. http://hdl.handle.net/2263/26399.

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Eye tracking has a number of useful applications ranging from monitoring a vehicle driver for possible signs of fatigue, providing an interface to enable severely disabled people to communicate with others, to a number of medical applications. Most eye tracking applications require a non-intrusive way of tracking the eyes, making a camera-based approach a natural choice. However, although significant progress has been made in recent years, modern eye tracking systems still have not overcome a number of challenges including eye occlusions, variable ambient lighting conditions and inter-subject
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Dybäck, Matilda, and Johanna Wallgren. "Pupil dilation as an indicator for auditory signal detection : Towards an objective hearing test based on eye tracking." Thesis, KTH, Skolan för teknik och hälsa (STH), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192703.

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An early detection of hearing loss in children is important for the child's speech and language development. For children between 3-6 months, a reliable method to measure hearing and determine hearing thresholds is missing. A hearing test based on the pupillary response to auditory signal detection as measured by eye tracking is based on an automatic physiological response. This hearing test could be used instead of the objective hearing tests used today. The presence of pupillary response has been shown in response to speech, but it is unstudied in response to sinus tones. The objective of th
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Bediz, Yusuf. "Automatic Eye Tracking And Intermediate View Reconstruction For 3d Imaging Systems." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607528/index.pdf.

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In recent years, the utilization of 3D display systems became popular in many application areas. One of the most important issues in the utilization of these systems is to render the correct view to the observer based on his/her position. In this thesis, we propose and implement a single user view rendering system for autostereoscopic/stereoscopic displays. The system can easily be installed on a standard PC together with an autostereoscopic display or stereoscopic glasses (shutter, polarized, pulfrich, and anaglyph) with appropriate video card. Proposed system composes of three main blocks: v
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Yekhshatyan, Lora. "Detecting distraction and degraded driver performance with visual behavior metrics." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/910.

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Driver distraction contributes to approximately 43% of motor-vehicle crashes and 27% of near-crashes. Rapidly developing in-vehicle technology and electronic devices place additional demands on drivers, which might lead to distraction and diminished capacity to perform driving tasks. This situation threatens safe driving. Technology that can detect and mitigate distraction by alerting drivers could play a central role in maintaining safety. Correctly identifying driver distraction in real time is a critical challenge in developing distraction mitigation systems, and this function has not been
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Ince, Kutalmis Gokalp. "Computer Simulation And Implementation Of A Visual 3-d Eye Gaze Tracker For Autostreoscopic Displays." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611343/index.pdf.

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In this thesis, a visual 3-D eye gaze tracker is designed and implemented to tested via computer simulations and on an experimental setup. Proposed tracker is designed to examine human perception on autostereoscopic displays when the viewer is 3m away from such displays. Two different methods are proposed for calibrating personal parameters and gaze estimation, namely line of gaze (LoG) and line of sight (LoS) solutions. 2-D and 3-D estimation performances of the proposed system are observed both using computer simulations and the experimental setup. In terms of 2-D and 3-D performance criteri
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Donovan, Tim. "Performance changes in wrist fracture detection and lung nodule perception following the perceptual feedback ot eye movements." Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.524759.

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Gabbard, Ryan Dwight. "Identifying the Impact of Noise on Anomaly Detection through Functional Near-Infrared Spectroscopy (fNIRS) and Eye-tracking." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1501711461736129.

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Freeman, Jason Robert. "The Rise of the Listicle: Using Eye-Tracking and Signal Detection Theory to Measure This Growing Phenomenon." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6803.

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As online technology continues to progress, the modes of communication through which content can be shared have exponentially grown. These include advances in navigational options for presenting information and news online. Though the listicle has been around for centuries, the internet has proliferated its growth, as content producers rely on its structure as a vehicle for sharing information. This research shows that in the case of listicles, format had no direct effect on recall, however, participants who had a greater interest in the content showed significantly higher levels of memory sen
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Chen, Lihui. "Towards an efficient, unsupervised and automatic face detection system for unconstrained environments." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/8132.

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Nowadays, there is growing interest in face detection applications for unconstrained environments. The increasing need for public security and national security motivated our research on the automatic face detection system. For public security surveillance applications, the face detection system must be able to cope with unconstrained environments, which includes cluttered background and complicated illuminations. Supervised approaches give very good results on constrained environments, but when it comes to unconstrained environments, even obtaining all the training samples needed is sometimes
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Escorcia, Gutierrez José. "Image Segmentation Methods for Automatic Detection of the Anatomical Structure of the Eye in People with Diabetic Retinopathy." Doctoral thesis, Universitat Rovira i Virgili, 2021. http://hdl.handle.net/10803/671543.

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Aquesta tesi s'emmarca dins del pla integral de prevenció precoç de la Retinopatia Diabètica (RD) posat en marxa pel govern espanyol seguint les recomanacions de l'Organització Mundial de la Salut de promoure iniciatives que consciencien sobre la importància de fer revisions oculars regulars entre les persones amb diabetis. Per tal de poder determinar el nivell de retinopatia diabètica cal localitzar i identificar diferents tipus de lesions a la retina. Per poder fer-ho, cal que primer s'eliminin de la imatge les estructures anatòmiques normals de l'ull (vasos sanguinis, disc òptic i fòvea
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Vineela, Sanampudi. "Eye Corner Detection." Thesis, 2015. http://ethesis.nitrkl.ac.in/7682/1/2015_Eye_Vineela.pdf.

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Detection of corners of the eye is a good research topic. It plays an important role in multiple tasks performed in the field of Computer Vision. It also plays a key role in biometric systems. In this the- sis, initially, the existing corner detection methods are discussed. Using Hough transform line, circle and ellipse were found out in the given image. The proposed work includes, finding the eye region in the given face image using Template Matching method. Later on, we fit a rectangle to the matched eye region. And then, we find out the corners of the rectangle and approximate them to be th
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Chang, Hui-Yin, and 張惠茵. "Algorithm Design of Eye Status Detection for Close Eye Alert Systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/27226090604110195496.

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碩士<br>國立中興大學<br>電機工程學系所<br>102<br>In this thesis, we discuss several methods of eye status detection for close eye alert systems. The proposed close eye alert system based on tracking eye states was implemented. If the system detects the close eye state, it will show a warning message to alert. The proposed system contains two parts: the eye tracking and the eye state detection. Firstly, we pre-process original facial images for future easier processing due to some noises in images. We use several methods to do the pre-process, which are described as follows: 1. Convert the color space to th
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Wang, Sheng-Wen, and 王聖文. "Automatic Eye Detection and Glasses Removal." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/56a3j8.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>92<br>This thesis addresses an algorithm to automatically detect the eye location from a given face image and remove the glasses while one has worn. Our system consists of three modules: face segmentation, eye detection, and eyeglasses removal while one has worn on eyeglasses. First, we use the universal skin-color map to detect the face regions, which can ensure sufficient adaptability to ambient lighting conditions. Then, a special filter, called circle-frequency filter, is used to locate the eye regions because of its invariant characteristic in wide face orient
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Chou, Ta-Feng, and 周達峰. "A COMPARISON OF EYE DETECTION ALGORITHMS." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/74749524768101402959.

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碩士<br>國立交通大學<br>電機學院碩士在職專班電子與光電組<br>94<br>This thesis is towards the research of detecting people's eyes in the face. People's eyes contain transmit and rich information. When we are tired and sleepy, eyes will not be getting conscientious. On the other hand, Eyes will be also large when you are energetic. If we can watch driver's eyes, We can design a driving security system reminding the driver automatically. Eyes are also important to distinguish people's identity. If we can set up the face image database of the staff of a company, Then we can distinguish a person's identity by one's facial
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Panda, Deepti Ranjan. "Eye Detection Using Wavelets and ANN." Thesis, 2007. http://ethesis.nitrkl.ac.in/54/1/dipti.pdf.

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A Biometric system provides perfect identification of individual based on a unique biological feature or characteristic possessed by a person such as finger print, hand writing, heart beat, face recognition and eye detection. Among them eye detection is a better approach since Human Eye does not change throughout the life of an individual. It is regarded as the most reliable and accurate biometric identification system available. In our project we are going to develop a system for ‘eye detection using wavelets and ANN’ with software simulation package such as matlab 7.0 tool box in order to ve
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Lin, Hui-Wen, and 林慧雯. "Detection of Eye Blinking of a Driver." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/92275145791570371441.

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碩士<br>國立臺灣師範大學<br>資訊工程研究所<br>94<br>Since car accidents may be caused by a driver's drowsiness, some assistance systems have been designed to warn the driver before he falls asleep. Such a system could monitor the driver’s eyes to detect blinking. If the blinking becomes to frequent or prolonged, then it may indicate drowsiness. We propose a vision-based eye blinking detection system in this paper. Four steps, extracting a human face, detecting eye location, tracking the eyes and detecting blinking are developed for our system. Using a video camera mounted in the image of the driver’s face is f
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Weng, Chung-Ren, and 翁崇荏. "A Fast Algorithm of Eye Blink Detection." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/81350316070926319375.

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碩士<br>國立交通大學<br>資訊科學系所<br>93<br>The information about eye blinks shows one’s fatigue. Detecting blink is useful to monitoring system or warning system. Automatically detecting fatigue of drivers may save them from accidents. We propose a fast algorithm for eye location and eye blink detection. This algorithm is adapted to the complex background and the situation which people wear glasses. In the first place, we classify pixels as skin color and non-skin color to build a skin mask of original image. Second, we patch the skin mask with morphological operations and locate the face bounding block.
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Chang, Chia-Wei, and 張家瑋. "Human Detection Using Single Fish-eye Camera." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8w6ade.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>106<br>This paper proposes a new algorithm for human detection using single downward-viewing fish-eye camera. In recent years, methods for human detection using projective camera have been studied extensively, but researches on human detection from fish-eye camera images are very limited and time-consuming, and most of them were used in simple and uncluttered environments. In addition, the advantage of fisheye lenses is that they can cover a very wide range with only one camera. When people are close, or they may be blocked, using fish-eye camera has a better view
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Kumar, Rahul. "DataBase Generation for Eye Detection with Spectacles." Thesis, 2018. http://ethesis.nitrkl.ac.in/9652/1/2018_MT_216EE1268_RKumar_Database.pdf.

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Face and subsequently eye detection is primary step for facial image processing. Most of these applications faces are considered without spectacles that poses challenge to detect ocular features. In this work, we aim to create a facial data-base with and without spectacles to facilitate the validation of algorithms for face or eye detection. We designed an experiment to incorporate variability in several parameters to be detected and measured. We have generated the ground truth to provide a platform for the researchers to quantitatively evaluate the performance of their algorithms on this dat
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Rae, Robert Andrew. "Detection of eyelid position in eye-tracking systems." 2004. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=95039&T=F.

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Chang, Ting-Hsuan, and 張庭瑄. "Automatic Red-Eye Reduction with Fast Face Detection." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/82482374910385611330.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>96<br>Red-Eye Reduction Technology is used for some artifacts in still images. This technology can help user get a better photo print. In recent years, digital cameras and camera phones are more popular. People can take many pictures easily. Some photos taken in dark with flashlight will have some red-eye artifact. This subject becomes more important nowadays. In this thesis, we propose a fast face detection and automatic red-eye reduction method, which eliminates red-eye effect automatically. Increasing the processing speed and decreasing the false alarm rate t
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Hsu, Yi-Cheng, and 徐亦澂. "Circular Deformable Template Application in Eye Openness Detection." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/19755713531899394541.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>96<br>Sleepiness and driving is a dangerous combination, drowsy driving can be just as fatal. Accordingly, it is necessary to develop a drowsy driver awareness system. To avoid interrupting the driver, it is necessary to build a system under non-invasive and non-contact condition. Image process system suits to achieve such a request. Hence, it is recommended to judge the drowsiness state by observing eye status of operators via eye video. In this thesis, we use a CCD camera as the image sources and use skin color map to segment skin region. Then we use PCA algorith
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Lin, Yu-Sheng, and 林祐聖. "Automatic Eye Detection and Reflection Separation within Glasses." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/45673049838875420176.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>94<br>Eye detection has been applied to many applications, for instance, human or faces recognition, eye gaze detection, drowsiness detection, and so on. However, eye detection often misdiagnoses for the interference caused by glasses when one wears spectacles. This thesis addresses an algorithm to automatically detect the eye location from a given face image and separate reflections within glasses while one has worn glasses. Our system consists of three modules: face segmentation, optic-area detection, and the separating of glasses reflections while one has worn g
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Chang, Ting-Hsuan. "Automatic Red-Eye Reduction with Fast Face Detection." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1606200815074300.

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WANG, YU-HUI, and 王玉輝. "Eye Detection Using the Color Sequence Fuzzy Automata." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/98003077095482736700.

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碩士<br>聖約翰科技大學<br>電子工程系碩士班<br>96<br>Eyes are one of the most important facial features and eyes detection play a quite important role in many useful applications, such as face detection, face recognition, facial expression analysis, or eye-gaze tracking systems. In this paper, the authors introduced an eye localization system based on the line color sequence (LCS) in the color images. The algorithm not only focuses on the identification of color types, but also engages in determining the spatial relationships between the colors. The novelty of this work is that the algorithm works without compl
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