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Dissertations / Theses on the topic 'Detection and recognition'

Author: Grafiati

Published: 15 June 2024

Last updated: 19 July 2025

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1

O'Shea, Kieran. "Roadsign detection & recognition /." Leeds : University of Leeds, School of Computer Studies, 2008. http://www.comp.leeds.ac.uk/fyproj/reports/0708/OShea.pdf.

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2

Bashir, Sulaimon A. "Change detection for activity recognition." Thesis, Robert Gordon University, 2017. http://hdl.handle.net/10059/3104.

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Activity Recognition is concerned with identifying the physical state of a user at a particular point in time. Activity recognition task requires the training of classification algorithm using the processed sensor data from the representative population of users. The accuracy of the generated model often reduces during classification of new instances due to the non-stationary sensor data and variations in user characteristics. Thus, there is a need to adapt the classification model to new user haracteristics. However, the existing approaches to model adaptation in activity recognition are blin

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3

Sandström, Marie. "Liveness Detection in Fingerprint Recognition Systems." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2397.

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<p>Biometrics deals with identifying individuals with help of their biological data. Fingerprint scanning is the most common method of the biometric methods available today. The security of fingerprint scanners has however been questioned and previous studies have shown that fingerprint scanners can be fooled with artificial fingerprints, i.e. copies of real fingerprints. The fingerprint recognition systems are evolving and this study will discuss the situation of today. </p><p>Two approaches have been used to find out how good fingerprint recognition systems are in distinguishing between live

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4

Khan, Muhammad. "Hand Gesture Detection & Recognition System." Thesis, Högskolan Dalarna, Datateknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6496.

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The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it.A research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algori

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Zakir, Usman. "Automatic road sign detection and recognition." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/9733.

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Road Sign Detection and Recognition (RSDR) systems provide an additional level of driver assistance, leading to improved safety for passengers, road users and vehicles. As part of Advanced Driving Assistance Systems (ADAS), RSDR can be used to benefit drivers (specially with driving disabilities) by alerting them about the presence of road signs to reduce risks in situations of driving distraction, fatigue ,poor sight and weather conditions. Although a number of RSDR systems have been proposed in literature; the design of a robust algorithm still remains an open research problem. This thesis a

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Park, Chi-youn 1981. "Consonant landmark detection for speech recognition." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44905.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 191-197).<br>This thesis focuses on the detection of abrupt acoustic discontinuities in the speech signal, which constitute landmarks for consonant sounds. Because a large amount of phonetic information is concentrated near acoustic discontinuities, more focused speech analysis and recognit

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Ning, Guanghan. "Vehicle license plate detection and recognition." Thesis, University of Missouri - Columbia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10157318.

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<p> In this work, we develop a license plate detection method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) features. The system performs window searching at different scales and analyzes the HOG feature using a SVM and locates their bounding boxes using a Mean Shift method. Edge information is used to accelerate the time consuming scanning process. </p><p> Our license plate detection results show that this method is relatively insensitive to variations in illumination, license plate patterns, camera perspective and background variations. We teste

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8

Liu, Chang. "Human motion detection and action recognition." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1108.

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9

Anwer, Rao Muhammad. "Color for Object Detection and Action Recognition." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/120224.

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Detectar objetos en imágenes es un problema central en el campo de la visión por computador. El marco de detección basado en modelos de partes deformable es actualmente el más eficaz. Generalmente, HOG es el descriptor de imágenes a partir del cual se construyen esos modelos. El reconocimiento de acciones humanas es otro de los tópicos de más interés actualmente en el campo de la visión por computador. En este caso, los modelos usados siguen la idea de conjuntos de palabras (visuales), en inglés bag-of-words, en este caso siendo SIFT uno de los descriptor de imágenes más usados para dar soport

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Wang, Ge. "Verilogo proactive phishing detection via logo recognition /." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/fullcit?p1477945.

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Thesis (M.S.)--University of California, San Diego, 2010.<br>Title from first page of PDF file (viewed July 16, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (leaves 38-40).

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11

Koniaris, Christos. "Perceptually motivated speech recognition and mispronunciation detection." Doctoral thesis, KTH, Tal-kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102321.

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This doctoral thesis is the result of a research effort performed in two fields of speech technology, i.e., speech recognition and mispronunciation detection. Although the two areas are clearly distinguishable, the proposed approaches share a common hypothesis based on psychoacoustic processing of speech signals. The conjecture implies that the human auditory periphery provides a relatively good separation of different sound classes. Hence, it is possible to use recent findings from psychoacoustic perception together with mathematical and computational tools to model the auditory sensitivities

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12

Mahmood, Hamid. "Visual Attention-based Object Detection and Recognition." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94024.

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This thesis is all about the visual attention, starting from understanding the human visual system up till applying this mechanism to a real-world computer vision application. This has been achieved by taking the advantage of latest findings about the human visual attention and the increased performance of the computers. These two facts played a vital role in simulating the many different aspects of this visual behavior. In addition, the concept of bio-inspired visual attention systems have become applicable due to the emergence of different interdisciplinary approaches to vision which leads t

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13

Zhou, Yun. "Embedded Face Detection and Facial Expression Recognition." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/583.

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Face Detection has been applied in many fields such as surveillance, human machine interaction, entertainment and health care. Two main reasons for extensive attention on this typical research domain are: 1) a strong need for the face recognition system is obvious due to the widespread use of security, 2) face recognition is more user friendly and faster since it almost requests the users to do nothing. The system is based on ARM Cortex-A8 development board, including transplantation of Linux operating system, the development of drivers, detecting face by using face class Haar feature and Viol

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Norris, Jeffrey S. (Jeffrey Singley) 1976. "Face detection and recognition in office environments." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80108.

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15

Aleixo, Patrícia Nunes. "Object detection and recognition for robotic applications." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13811.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>The computer vision assumes an important relevance in the development of robotic applications. In several applications, robots need to use vision to detect objects, a challenging and sometimes difficult task. This thesis is focused on the study and development of algorithms to be used in detection and identification of objects on digital images to be applied on robots that will be used in practice cases. Three problems are addressed: Detection and identification of decorative stones for textile industry; Detection of the ball in ro

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16

Cohen, Gregory Kevin. "Event-Based Feature Detection, Recognition and Classification." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066204/document.

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La detection, le suivi de cible et la reconnaissance de primitives visuelles constituent des problèmes fondamentaux de la vision robotique. Ces problématiques sont réputés difficiles et sources de défis. Malgré les progrès en puissance de calcul des machines, le gain en résolution et en fréquence des capteurs, l’état-de-l’art de la vision robotique peine à atteindre des performances en coût d’énergie et en robustesse qu’offre la vision biologique. L’apparition des nouveaux capteurs, appelés "rétines de silicium” tel que le DVS (Dynamic Vision Sensor) et l’ATIS (Asynchronous Time-based Imaging

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Dittmar, George William. "Object Detection and Recognition in Natural Settings." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/926.

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Much research as of late has focused on biologically inspired vision models that are based on our understanding of how the visual cortex processes information. One prominent example of such a system is HMAX [17]. HMAX attempts to simulate the biological process for object recognition in cortex based on the model proposed by Hubel & Wiesel [10]. This thesis investigates the ability of an HMAX-like system (GLIMPSE [20]) to perform object-detection in cluttered natural scenes. I evaluate these results using the StreetScenes database from MIT [1, 8]. This thesis addresses three questions: (1) Can

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18

Olsson, Oskar, and Moa Eriksson. "Automated system tests with image recognition : focused on text detection and recognition." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160249.

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Today’s airplanes and modern cars are equipped with displays to communicate important information to the pilot or driver. These displays needs to be tested for safety reasons; displays that fail can be a huge safety risk and lead to catastrophic events. Today displays are tested by checking the output signals or with the help of a person who validates the physical display manually. However this technique is very inefficient and can lead to important errors being unnoticed. MindRoad AB is searching for a solution where validation of the display is made from a camera pointed at it, text and numb

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19

Kou, Yufeng. "Abnormal Pattern Recognition in Spatial Data." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/30145.

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In the recent years, abnormal spatial pattern recognition has received a great deal of attention from both industry and academia, and has become an important branch of data mining. Abnormal spatial patterns, or spatial outliers, are those observations whose characteristics are markedly different from their spatial neighbors. The identification of spatial outliers can be used to reveal hidden but valuable knowledge in many applications. For example, it can help locate extreme meteorological events such as tornadoes and hurricanes, identify aberrant genes or tumor cells, discover highway traffic

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20

Higgs, David Robert. "Parts-based object detection using multiple views /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1000.

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Pavani, Sri-Kaushik. "Methods for face detection and adaptive face recognition." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7567.

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The focus of this thesis is on facial biometrics; specifically in the problems of face detection and face recognition. Despite intensive research over the last 20 years, the technology is not foolproof, which is why we do not see use of face recognition systems in critical sectors such as banking. In this thesis, we focus on three sub-problems in these two areas of research. Firstly, we propose methods to improve the speed-accuracy trade-off of the state-of-the-art face detector. Secondly, we consider a problem that is often ignored in the literature: to decrease the training time of the detec

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22

Beyreuther, Moritz. "Speech Recognition based Automatic Earthquake Detection and Classification." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-132557.

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23

Khiari, El Hebri. "Text Detection and Recognition in the Automotive Context." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32458.

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This thesis achieved the goal of obtaining high accuracy rates (precision and recall) in a real-time system that detects and recognizes text in the automotive context. For the sake of simplicity, this work targets two Objects of Interest (OOIs): North American (NA) traffic boards (TBs) and license plates (LPs). The proposed approach adopts a hybrid detection module consisting of a Connected Component Analysis (CCA) step followed by a Texture Analysis (TA) step. An initial set of candidates is extracted by highlighting the Maximally Stable Extremal Regions (MSERs). Each sebsequent step in th

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Hayes, William S. "Pattern recognition and signal detection in gene finding." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/25420.

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25

Liu, Sharlene Anne. "Landmark detection for distinctive feature-based speech recognition." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11406.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (leaves 187-190).<br>by Sharlene Anne Liu.<br>Ph.D.

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Patel, Ravi L. "Security system with motion detection and face recognition." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10251645.

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<p> Security is an essential criterion in all industries. This project develops a Security System that includes motion detection and face recognition. Motion detection is achieved by using the PIR (Passive Infrared) sensor, and face recognition is achieved by using the SIFT (Scale Invariant Feature Transform) algorithm.</p><p> The primary hardware components used in this system are a PIR sensor, microcontroller, relay, LCD (Liquid Crystal Display), buzzer, MAX232 IC, and GSM (Global System for Mobile Communication). The system incorporates the feature extraction method, which is utilized to

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Halberstadt, Warren. "Pattern recognition in the detection of Tuberculous Meningitis." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/3239.

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28

Robertson, Curtis E. "Deep Learning-Based Speed Sign Detection and Recognition." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595500028808679.

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Qiao, Long. "Structural damage detection using signal-based pattern recognition." Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1385.

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30

Yousfi, Sonia. "Embedded Arabic text detection and recognition in videos." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI069/document.

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Cette thèse s'intéresse à la détection et la reconnaissance du texte arabe incrusté dans les vidéos. Dans ce contexte, nous proposons différents prototypes de détection et d'OCR vidéo (Optical Character Recognition) qui sont robustes à la complexité du texte arabe (différentes échelles, tailles, polices, etc.) ainsi qu'aux différents défis liés à l'environnement vidéo et aux conditions d'acquisitions (variabilité du fond, luminosité, contraste, faible résolution, etc.). Nous introduisons différents détecteurs de texte arabe qui se basent sur l'apprentissage artificiel sans aucun prétraitement.

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IACONO, MASSIMILIANO. "Object detection and recognition with event driven cameras." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1005981.

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This thesis presents study, analysis and implementation of algorithms to perform object detection and recognition using an event-based cam era. This sensor represents a novel paradigm which opens a wide range of possibilities for future developments of computer vision. In partic ular it allows to produce a fast, compressed, illumination invariant output, which can be exploited for robotic tasks, where fast dynamics and signiﬁcant illumination changes are frequent. The experiments are carried out on the neuromorphic version of the iCub humanoid platform. The robot is equipped with a nov

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Ma, Chengyuan. "A detection-based pattern recognition framework and its applications." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33889.

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The objective of this dissertation is to present a detection-based pattern recognition framework and demonstrate its applications in automatic speech recognition and broadcast news video story segmentation. Inspired by the studies of modern cognitive psychology and real-world pattern recognition systems, a detection-based pattern recognition framework is proposed to provide an alternative solution for some complicated pattern recognition problems. The primitive features are first detected and the task-specific knowledge hierarchy is constructed level by level; then a variety of heterogeneou

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Kelsey, Matthew Douglas. "THE DEVELOPMENT AND EVALUATION OF TECHNIQUES FOR USE IN MAMMOGRAPHIC SCREENING COMPUTER AIDED DETECTION SYSTEMS." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/dissertations/331.

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The material presented in this dissertation details techniques developed to aid in the detection of a specific type of cancerous lesion visible on screening mammography images. These spiculated lesions most often appear as centrally bright objects with semi-defined borders. Furthermore, lesion margins are composed of indicative spiculations or fine tendrils projecting outward from the mass center. The techniques developed here to identify these characteristics and detect these objects are intended to operate as a processing pipeline. The first group of these processing stages is responsibl

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Ridge, Douglas John. "Imaging for small object detection." Thesis, Queen's University Belfast, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295423.

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Espinosa-Romero, Arturo. "Situated face detection." Thesis, University of Edinburgh, 2001. http://hdl.handle.net/1842/6667.

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In the last twenty years, important advances have been made in the field of automatic face processing, given the importance of human faces for personal identification, emotional expression and verbal and non verbal communication. The very first step in a face processing algorithm is the detection of faces; while this is a trivial problem in controlled environments, the detection of faces in real environments is still a challenging task. Until now, the most successful approaches for face detection represent the face as a grey-level pattern, and the problem itself is considered as the classifica

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Al, Qader Akram Abed Al Karim Abed. "Unconstrained road sign recognition." Thesis, De Montfort University, 2017. http://hdl.handle.net/2086/14942.

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There are many types of road signs, each of which carries a different meaning and function: some signs regulate traffic, others indicate the state of the road or guide and warn drivers and pedestrians. Existent image-based road sign recognition systems work well under ideal conditions, but experience problems when the lighting conditions are poor or the signs are partially occluded. The aim of this research is to propose techniques to recognize road signs in a real outdoor environment, especially to deal with poor lighting and partially occluded road signs. To achieve this, hybrid segmentation

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Chen, Datong. "Text detection and recognition in images and video sequences /." [S.l.] : [s.n.], 2003. http://library.epfl.ch/theses/?display=detail&nr=2863.

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Bouganis, Christos-Savvas. "Multiple light source detection with application to face recognition." Thesis, Imperial College London, 2004. http://hdl.handle.net/10044/1/11322.

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Feng, Jingwen. "Traffic Sign Detection and Recognition System for Intelligent Vehicles." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31449.

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Road traffic signs provide instructions, warning information, to regulate driver behavior. In addition, these signs provide a reliable guarantee for safe and convenient driving. The Traffic Sign Detection and Recognition (TSDR) system is one of the primary applications for Advanced Driver Assistance Systems (ADAS). TSDR has obtained a great deal of attention over the recent years. But, it is still a challenging field of image processing. In this thesis, we first created our own dataset for North American Traffic Signs, which is still being updated. We then decided to choose Histogram Orienta

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Cheung, Karen. "Image processing for skin cancer detection, malignant melanoma recognition." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq29403.pdf.

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GUPTA, MUSKAN. "FACIAL DETECTION and RECOGNITION." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19521.

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Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come from the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. These researches involve knowledge and researchers from disciplines such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning, etc. A bunch of papers have been published to overcome different factors (such as illumination, expression, scal

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Jung-Chieh, Hsien. "Road Sign Detection and Recognition." 2003. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611353624.

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Wang, Tsung-Jen, and 王宗任. "Traffic Sign Detection and Recognition." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/14675198330887014049.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>97<br>In this paper, we use color and shape to detect and classify traffic signs. Then, the message on the traffic sign is recognized for driver. The method consists of two phases: traffic sign detection and recognition. In the detection stage, we use the distribution of traffic sign on HSV color model to segment the regions of traffic sign, and then use connected component labeling and edge detection to find positions of traffic signs. In the recognition stage, the detected traffic signs are normalized and classified by shape detection. Finally, we input the result

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Hsien, Jung-Chieh, and 謝榮桀. "Road Sign Detection and Recognition." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/52667283080897300108.

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碩士<br>元智大學<br>資訊工程學系<br>91<br>This study proposes a novel road sign detection and recognition method. The position of road sign in an image is detected using the projection techniques. The features of road sign are then extracted using the techniques of projection, moment and Markov model, which, in turn are used to match the detected road sign to those in the database so that the goal of road sign recognition can be achieved. More specifically, the color images in terms of RGB color system are first converted to HSV color system and then quantized into specific colors existing in r

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Gill, HK. "Abalone tag detection and recognition." Thesis, 2009. https://eprints.utas.edu.au/19912/1/whole_GillHarpreetKaur2009_thesis.pdf.

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In recent years, there have been serious concerns about the declining stocks of wild abalone combined with a rapidly increasing market demand and so aquaculture researchers are continuously investing in new methods for growing and monitoring cultured abalone. There are a number of new programs that have been planned for farmed abalone, such as selective breeding and genetic manipulation to meet world demand. These methods can only be successful if abalone traits and behaviour can be identified properly. Therefore, physical tagging of abalone shells and DNA (Deoxyribonucleic Acid) pedigree mar

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Lin, Yuh-Ju, and 林育如. "Chinese Text Detection and Recognition." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/37v6v3.

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碩士<br>國立中央大學<br>資訊工程學系<br>107<br>Optical Character Recognition (OCR) is a big challenge of Computer Vision. The degree of challenge has become harder from the task of recognizing the English characters and numbers with specific font and some symbol to the task of detecting and recognizing the text in the wild. And in the domain of text detection and recognition, detecting and recognizing Chinese context is more complex than the English. First, the amount of Chinese character is much more than English, and the shape is much more complex, too. Different from English context, Chinese can be writt

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Subudhi, K. Krishan Kumar, and Ramshankar Mishra. "Human Face Recognition and Detection." Thesis, 2011. http://ethesis.nitrkl.ac.in/2568/1/face_recognition_and_detection.pdf.

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Human face detection and recognition play important roles in many applications such as video surveillance and face image database management. In our project, we have studied worked on both face recognition and detection techniques and developed algorithms for them. In face recognition the algorithm used is PCA (principal component analysis), MPCA(Multilinear Principal Component Analysis) and LDA(Linear Discriminant Analysis) in which we recognize an unknown test image by comparing it with the known training images stored in the database as well as give information regarding the person recogn

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Jain, Deepak. "Moving Object Detection and Recognition." Thesis, 2017. http://ethesis.nitrkl.ac.in/8858/1/2017_MT_DJain.pdf.

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Detection of moving object is an active research topic in computer vision applications, like people counting, intruder detection, object tracking. For detection of moving object we are using background subtraction technique. In this thesis, we are dealing with Robust Principal Component Analysis which decomposes a given data matrix into low-rank component and sparse component. Low-rank component gives us the background portion whereas the sparse one gives the required foreground object. The limitation of classical PCA, i.e. it is not applicable when more number of outliers are present, is over

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Shen, Yu-sian, and 沈育賢. "Road Traffic Sign Detection and Recognition." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/n6uc3f.

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碩士<br>國立臺灣科技大學<br>高分子系<br>95<br>Traffic sign detection and recognition is a difficult task in an outdoor environment. Complex background, weather, illumination-related problems, and even the covered, damaged and rotated signs may make traffic sign detection and recognition more difficult. In the detection, we use RGB and HSI color models to classify colors, and utilize the corner detector mask and shape characteristic to implement the detection components. In the recognition, we use Otsu statistical threshold selecting method and gray-level variance, together with the proposed feature extracti

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Chuang, Chia-Lung, and 莊佳龍. "Vehicle Detection and License Plate Recognition." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/57361447713712641354.

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Abstract:

碩士<br>國立中正大學<br>光機電整合工程研究所<br>93<br>License plate recognition system has been extensively used in a variety of applications, such as parking lot management of community and buildings, and searching stolen car of police departments, roadway monitor, car management and so on。In the past study, the needed car is catched by the method of responding and activating. In this system, the video camera continuously shoot the motion-based vehicle and the video frames are analyzed by shadow detection, vehicle location, size of license plate to catch the needed image including vehicle automatically. Moreov

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