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Relevant bibliographies by topics / AdaBoost Haar Vehicle Detection / Dissertations / Theses

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Dissertations / Theses on the topic 'AdaBoost Haar Vehicle Detection'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Tamang, Sujan. "Empirical Evaluation of AdaBoost Method in Detecting Transparent and Occluded Objects." Youngstown State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1527599823503772.

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2

Plačko, Michal. "Sledování lidské postavy ve videosekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220561.

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This thesis deals with human body detection and gestures tracking in videosequences. First, processing of videosequences in general is described. Further, different methods of human body detection are described and represented by significant papers. The most of the attention is focused on detection by real AdaBoost algorithm based on Haar-like features and Edgelet features. The practical part starts with selection of method that is implemented in this thesis. This method is detection by real AdaBoost based on Haar-like features. Further, different options of videosequence processing in JAVA ar

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3

Arslan, Duygu. "Global Appearance Based Airplane Detection From Satellite Imagery." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614502/index.pdf.

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There is a rising interest in geospatial object detection due to not only the complexity of manual processing of such huge amount of data provided by high resolution satellite imagery but also for military application needs. A fundamental and yet state-of-the art approach for object detection is based on methods that utilize the global appearance. In such a holistic approach, the information of the object class is aimed to be modeled as a whole in the learning phase. And during the classification, a decision is taken at each window of the test image. In this thesis, two different discriminativ

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4

Nagavelli, Sai Krishnanand. "Improve Nano-Cube Detection Performance Using A Method of Separate Training of Sample Subsets." Youngstown State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1485267005121308.

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5

Kičina, Pavol. "Automatická identifikace tváří v reálných podmínkách." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218980.

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This master‘s thesis describes the identification faces in real terms. It includes an overview of current methods of detection faces by the classifiers. It also includes various methods for detecting faces. The second part is a description of two programs designed to identify persons. The first program operates in real time under laboratory conditions, where using web camera acquires images of user's face. This program is designed to speed recognition of persons. The second program has been working on static images, in real terms. The main essence of this method is successful recognition of pe

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Šašinka, Ondřej. "Detekce obličeje." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236684.

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This MSc Thesis deals with face detection in image. In this approach, facial features (eyes, nose, mouth corners) are detected first and then joined to the whole face. For the facial features detection, classifiers trained with AdaBoost algorithm are used. Haar wavelets are used as features for classification.

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7

Mašek, Jan. "Detekce objektů v obraze s pomocí Haarových příznaků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219794.

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This thesis deals with the image object detection using Haar--like features and AdaBoost algorithm. The text describes methods how to train and test an object detector. The main contributon of this thesis consists in creation image object detector in Java programming language. Created algorithms were integrated as plugin into the RapidMiner tool, which is widely used and known worldwide as tool for data mining. The thesis contains the instructions for created operators and few exaples for executing in RapidMiner tool. The functionality of image object detector was demonstrated on selected medi

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8

Kamiya, Keitaro. "A framework of vision-based detection-tracking surveillance systems for counting vehicles." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45937.

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This thesis presents a framework for motor vehicle detection-tracking surveillance systems. Given an optimized object detection template, the feasibility and effectiveness of the methodology is considered for vehicle counting applications, implementing both a filtering operation of false detection, based on the speed variability in each segment of traffic state, and an occlusion handling technique which considers the unusual affine transformation of tracking subspace, as well as its highly fluctuating averaged acceleration data. The result presents the overall performance considering the trade

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9

Tureček, Martin. "Detekce obličejů v obraze z kamery na mobilním telefonu s WM." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-235553.

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This thesis deals with a face detection on mobile phones. It especially focuses on Windows Mobile platform. The introduction is therefore devoted to this operating system and alternatives of working with the camera. The next part of the text refers to general problems of the face detection in the image considering the weak performance of the target device. Another part of this thesis is a description of the acquisition of images from the camera using DirectShow multimedia framework and creation of a custom transformation filter for the face detection. Achieved results are summarized in the con

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10

Hruška, Martin. "Detekce charakteristických bodů obličeje v telerentgenovén snímku." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218905.

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Description cephalometric images and the characteristic points on the skull for cephalometric analysis. Theoretical analysis of digital image editing and image before the actual detection. The range of possible methods for determining the characteristic points on the face. Experimental verification of edge detectors, Hu moments with neural networks and Haar wavelets with Viola-Jones detector.

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11

Sprößig, Sören. "Entwicklung einer offenen Softwareplattform für Visual Servoing." Master's thesis, Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-201000972.

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Ziel dieser Diplomarbeit ist es, eine flexibel zu verwendende Plattform für Visual Servoing-Aufgaben zu Erstellen, mit der eine Vielzahl von verschiedenen Anwendungsfällen abgedeckt werden kann. Kernaufgabe der Arbeit ist es dabei, verschiedene Verfahren der Gesichtserkennung (face detection) am Beispiel der Haar-Kaskade und -wiedererkennung (face recognition) am Beispiel von Eigenfaces und Fisherfaces zu betrachten und an ausführlichen Beispielen vorzustellen. Dabei sollen allgemeine Grundbegriffe der Bildverarbeitung und bereits bekannte Verfahren vorgestellt und ihre Implementierung im Deta

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12

Nguyen, Van Toi. "Visual interpretation of hand postures for human-machine interaction." Thesis, La Rochelle, 2015. http://www.theses.fr/2015LAROS035/document.

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Aujourd'hui, les utilisateurs souhaitent interagir plus naturellement avec les systèmes numériques. L'une des modalités de communication la plus naturelle pour l'homme est le geste de la main. Parmi les différentes approches que nous pouvons trouver dans la littérature, celle basée sur la vision est étudiée par de nombreux chercheurs car elle ne demande pas de porter de dispositif complémentaire. Pour que la machine puisse comprendre les gestes à partir des images RGB, la reconnaissance automatique de ces gestes est l'un des problèmes clés. Cependant, cette approche présente encore de multiple

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13

Kolman, Aleš. "Detekce obličejů ve videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236583.

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The project is focused on face detection in video. Firstly, it contains a summary of basic color models. Secondly, you can find the description and comparison of the basic methods for detection of human skin with a practical example of implementation of parametric detector. Thirdly, a theoretical basis for face detection and face tracking in a video containing a list of basic concepts and methods of this issue follows. Greater emphasis is placed on the description of machine learning algorithm AdaBoost and description of the possible application of the Kalman filter for the purpose of face tra

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14

Kubínek, Jiří. "Detekce objektů v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236646.

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This work is dedicated to methods used for object detection in images. There is a summary of several approaches and algorithms to solve this matter, especially AdaBoost algorithm with its improvement, WaldBoost and several features used for object detection. Vital part of this work is dedicated to extending training datasets for classifier training and extending the current object detection framework with histogram of gradients features implementation. Integral part of this work is analysis of results by experiments evaluation.

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15

Tseng, Yu-cheng, and 曾昱誠. "Pedestrian Detection Using Adaboost and Haar Wavelet Transform." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/76240460642543334102.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>97<br>Pattern recognition is a popular issue in area of computer vision . How to recognize objects of interest is always our goal to achieve, and pedestrian detection is even a very hot subject in pattern recognition. In the aspect of surveillance system, there are often successful projects, such as safety surveillance, burglarproof system, traffic safety, etc. The complexity of the environment and every posture of pedestrian are all the problems we will face when detecting pedestrians. Due to these problems we meet, we often can’t completely extract the shape and th

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16

Yu, Chih-Chiang, and 余誌強. "Face Detection by Extended Haar Texture Features and AdaBoost Algorithm." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/39492285119394075242.

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碩士<br>育達商業科技大學<br>資訊管理所<br>101<br>Although face detection with the haar-like features and the AdaBoost learning algorithm has achieved real-time performance, the efficiency for training process is still an obvious problem and its robustness is affected by illumination variant. In this thesis, a novel face detection method based on the Extended Haar Texture Features (EHTF) and the modified version of AdaBoost algorithm is proposed. The proposed approach considers efficiency and efficacy simultaneously. Comparing EHTF with the traditional haar-like features, the amount of all potential features

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17

Chen, Ten-Tung, and 陳彥東. "Vehicle Detection based on Adaboost Algorithm and Symmetry Justification." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/79909400669743130976.

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碩士<br>國立臺北大學<br>資訊工程學系<br>101<br>Recently, extensive research concerning driver assistance systems has been conducted. Related applications include lane departure warning, trac sign recognition, and pedestrian and vehicle detection systems. This paper presents a real-time vehicle detection and tracking system capable of detecting the vehicles in front of a vehicle. The system consists of 2 main steps: generating candidates with respect to a vehicle by using the AdaBoost learning algorithm and verifying the candidates according to symmetry measurement and horizontal and vertical edge analysis.

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18

Hu, Keng-Wei, and 胡耿維. "Application of Genetic Algorithm and Haar-like Feature to Vehicle Detection." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/10153165657893956558.

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碩士<br>遠東科技大學<br>機械工程研究所<br>100<br>In this study, a static image method for vehicle detection is proposed. In the stationary scenario, the proposed method recognizes the vehicle target and finds the location in gray-scale image of a fixed size. The application of proposed method can be used in the parking lot and common roads. This approach uses Genetic Algorithm (GA) and Haar-like features method to vehicle detection based on visual images. The proposed method can be divided into four stages: The first stage uses the Genetic Algorithm with Haar-like features to search the .key features of the

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19

Chen, Jian-yuan, and 陳建元. "Wheel- and Wheelcover-Based AdaBoost Wheel Detection and Its Android Vehicle Patrolling Robot Implementation." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/59293187482918989334.

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碩士<br>國立雲林科技大學<br>資訊工程系碩士班<br>100<br>"Autonomous mobile vehicle patrolling robot" featuring patrolling mobility and real-time automation can carry out the vehicle investigation and license plate recognition anywhere, anytime, without manpower support. However, vehicle’s shape and feature under various perspective and illumination conditions are nonuniform, a vehicle detection and patrolling system invariant to complex scenes is studied and proposed. In order to simplify this issue, the vehicle detection stage of the proposed vehicle detection and patrolling system is divided into 4 aspects: 1)

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20

Tsau, Che-Wei, and 曹哲瑋. "A Vehicle Detection and Tracking System based on a Cascade Classifier applying AdaBoost Algorithm and Object Estimation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/u9y4df.

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碩士<br>國立交通大學<br>電控工程研究所<br>104<br>In recent years, the traffic accidents happen because drivers are not concentrating on the front vehicles. This thesis develops a vehicle detection and tracking system which can avoid traffic accidents. Unlike other complex hardware or software system, this dissertation uses USB camera and computer to build a hardware architecture. The software architecture contains an offline training model. This paper has three part: object estimation, object detection and object tracking In first part, the object estimation calculates the object probable position and scale

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