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Dissertations / Theses on the topic 'Camera recognition'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Johansson, Fredrik. "Recognition of Targets in Camera Networks." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95351.

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This thesis presents a re-recognition model for use in area camera network surveillance systems. The method relies on a mix of covariance matrix fea- ture descriptions and Bayesian networks for topological information. The system consists of an object recognition model and an re-recognition model. The object recognition model is responsible for separating people from the background and generating the position and description for each person and frame. This is done by using a foreground-background segmen- tation model to separate the background from a person. The segmented image is then tracked

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Tadesse, Girmaw Abebe. "Human activity recognition using a wearable camera." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/668914.

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Advances in wearable technologies are facilitating the understanding of human activities using first-person vision (FPV) for a wide range of assistive applications. In this thesis, we propose robust multiple motion features for human activity recognition from first person videos. The proposed features encode discriminant characteristics form magnitude, direction and dynamics of motion estimated using optical flow. M:>reover, we design novel virtual-inertial features from video, without using the actual inertial sensor, from the movement of intensity centroid across frames. Results on multiple

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Erhard, Matthew John. "Visual intent recognition in a multiple camera environment /." Online version of thesis, 2006. http://hdl.handle.net/1850/3365.

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Soh, Ling Min. "Recognition using tagged objects." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/844110/.

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This thesis describes a method for the recognition of objects in an unconstrained environment with a widely ranging illumination, imaged from unknown view points and complicated background. The general problem is simplified by placing specially designed patterns on the object that allows us to solve the pose determination problem easily. There are several key components involved in the proposed recognition approach. They include pattern detection, pose estimation, model acquisition and matching, searching and indexing the model database. Other crucial issues pertaining to the individual compon

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Mudduluru, Sravani. "Indian Sign Language Numbers Recognition using Intel RealSense Camera." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1815.

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The use of gesture based interaction with devices has been a significant area of research in the field of computer science since many years. The main idea of these kind of interactions is to ease the user experience by providing high degree of freedom and provide more interactive way of communication with the technology in a natural way. The significant areas of applications of gesture recognition are in video gaming, human computer interaction, virtual reality, smart home appliances, medical systems, robotics and several others. With the availability of the devices such as Kinect, Leap Motion

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Bellando, John Louis. "Modeling and Recognition of Gestures Using a Single Camera." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin973088031.

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Brauer, Henrik Siebo Peter. "Camera based human localization and recognition in smart environments." Thesis, University of the West of Scotland, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.739946.

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Hannuksela, J. (Jari). "Camera based motion estimation and recognition for human-computer interaction." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514289781.

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Abstract Communicating with mobile devices has become an unavoidable part of our daily life. Unfortunately, the current user interface designs are mostly taken directly from desktop computers. This has resulted in devices that are sometimes hard to use. Since more processing power and new sensing technologies are already available, there is a possibility to develop systems to communicate through different modalities. This thesis proposes some novel computer vision approaches, including head tracking, object motion analysis and device ego-motion estimation, to allow efficient interaction with m

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Akman, Oytun. "Multi-camera Video Surveillance: Detection, Occlusion Handling, Tracking And Event Recognition." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608620/index.pdf.

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In this thesis, novel methods for background modeling, tracking, occlusion handling and event recognition via multi-camera configurations are presented. As the initial step, building blocks of typical single camera surveillance systems that are moving object detection, tracking and event recognition, are discussed and various widely accepted methods for these building blocks are tested to asses on their performance. Next, for the multi-camera surveillance systems, background modeling, occlusion handling, tracking and event recognition for two-camera configurations are examined. Various foregro

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Kurihata, Hiroyuki, Tomokazu Takahashi, Ichiro Ide, et al. "Rainy weather recognition from in-vehicle camera images for driver assistance." IEEE, 2005. http://hdl.handle.net/2237/6798.

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Turk, Matthew Robert. "A homography-based multiple-camera person-tracking algorithm /." Online version of thesis, 2008. http://hdl.handle.net/1850/7853.

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Chen, Quanxin. "Camera calibration and shape recovery from videos of two mirrors." HKBU Institutional Repository, 2015. https://repository.hkbu.edu.hk/etd_oa/168.

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Mirrors are often studied for camera calibration since they provide symmetric relationship for object which can guarantee synchronization in multiple views. However, it is sometimes difficult to compute the reflection matrices of mirrors. This thesis aims to solve the problem of camera calibration and shape recovery from a two-mirror system which is able to generate five views of an object. It firstly studies the similarity relationship of the motion formed by the five views in two-mirror system with the circular motion. It is shown that the motion formed by the five views can be regarded as t

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Liang, Jian. "Processing camera-captured document images geometric rectification, mosaicing, and layout structure recognition /." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3659.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Anwar, Qaiser. "Optical Navigation by recognition of reference labels using 3D calibration of camera." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-18453.

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In this thesis a machine vision based indoor navigation system is presented. This is achieved by using rotationally independent optimized color reference labels and a geometrical camera calibration model which determines a set of camera parameters. All reference labels carry one byte of information (0 to 255), which can be designed for different values. An algorithm in Matlab has been developed so that a machine vision system for N number of symbols can recognize the symbols at different orientations. A camera calibration model describes the mapping between the 3-D world coordinates and the 2-

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Kotwal, Thomas (Thomas Prabhakar Pramod) 1978. "The untrusted computer problem and camera based authentication using optical character recognition." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87272.

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Qin, Yinghao. "The Smart Phone as a Mouse." The University of Waikato, 2006. http://hdl.handle.net/10289/2289.

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With the development of hardware, mobile phone has become a feature-rich handheld device. Built-in camera and Bluetooth technology are supported in most current mobile phones. A real-time image processing experiment was conducted with a SonyEricsson P910i smartphone and a desktop computer. This thesis describes the design and implementation of a system which uses a mobile phone as a PC mouse. The movement of the mobile phone can be detected by analyzing the images captured by the onboard camera and the mouse cursor in the PC can be controlled by the movement of the phone.

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Mohammed, Abdulmalik. "Obstacle detection and emergency exit sign recognition for autonomous navigation using camera phone." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/obstacle-detection-and-emergency-exit-sign-recognition-for-autonomous-navigation-using-camera-phone(e0224d89-e743-47a4-8c68-52f718457098).html.

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In this research work, we develop an obstacle detection and emergency exit sign recognition system on a mobile phone by extending the feature from accelerated segment test detector with Harris corner filter. The first step often required for many vision based applications is the detection of objects of interest in an image. Hence, in this research work, we introduce emergency exit sign detection method using colour histogram. The hue and saturation component of an HSV colour model are processed into features to build a 2D colour histogram. We backproject a 2D colour histogram to detect emergen

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Smith, Benjamin Andrew. "Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/31795.

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The extraction and analysis of human gait characteristics using image sequences and the subsequent classification of these characteristics are currently an intense area of research. Recently, the focus of this research area has turned to the realm of computer vision as an unobtrusive way of performing this analysis. With such systems becoming more common, a gait analysis system that will quickly and accurately determine if a subject is walking normally becomes more valuable. Such a system could be used as a preprocessing step in a more sophisticated gait analysis system or could be used for

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Williams, William. "A novel multispectral and 2.5D/3D image fusion camera system for enhanced face recognition." Thesis, Birkbeck (University of London), 2017. http://bbktheses.da.ulcc.ac.uk/272/.

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The fusion of images from the visible and long-wave infrared (thermal) portions of the spectrum produces images that have improved face recognition performance under varying lighting conditions. This is because long-wave infrared images are the result of emitted, rather than reflected, light and are therefore less sensitive to changes in ambient light. Similarly, 3D and 2.5D images have also improved face recognition under varying pose and lighting. The opacity of glass to long-wave infrared light, however, means that the presence of eyeglasses in a face image reduces the recognition performan

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Pakalapati, Himani Raj. "Programming of Microcontroller and/or FPGA for Wafer-Level Applications - Display Control, Simple Stereo Processing, Simple Image Recognition." Thesis, Linköpings universitet, Elektroniksystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-89795.

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In this work the usage of a WLC (Wafer Level Camera) for ensuring road safety has been presented. A prototype of a WLC along with the Aptina MT9M114 stereoboard has been used for this project. The basic idea is to observe the movements of the driver. By doing so an understanding of whether the driver is concentrating on the road can be achieved. For this project the display of the required scene is captured with a wafer-level camera pair. Using the image pairs stereo processing is performed to obtain the real depth of the objects in the scene. Image recognition is used to separate the object f

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21

Ozkilic, Sibel. "Performance Improvement Of A 3-d Configuration Reconstruction Algorithm For An Object Using A Single Camera Image." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/1095793/index.pdf.

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Performance improvement of a 3-D configuration reconstruction algorithm using a passive secondary target has been focused in this study. In earlier studies, a theoretical development of the 3-D configuration reconstruction algorithm was achieved and it was implemented by a computer program on a system consisting of an optical bench and a digital imaging system. The passive secondary target used was a circle with two internal spots. In order to use this reconstruction algorithm in autonomous systems, an automatic target recognition algorithm has been developed in this study. Starting from a

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MURASE, Hiroshi, Yoshito MEKADA, Ichiro IDE, Tomokazu TAKAHASHI, and Hiroyuki ISHIDA. "Generation of Training Data by Degradation Models for Traffic Sign Symbol Recognition." Institute of Electronics, Information and Communication Engineers, 2007. http://hdl.handle.net/2237/14958.

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Tang, Zongzhi. "A Novel Road Marking Detection and Recognition Technique Using a Camera-based Advanced Driver Assistance System." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35729.

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Advanced Driver Assistance System (ADAS) was widely learned nowadays. As crucial parts of ADAS, lane markings detection, as well as other objects detection, have become more popular than before. However, most methods implemented in such areas cannot perfectly balance the performance of accuracy versus efficiency, and the mainstream methods (e.g. Machine Learning) suffer from several limitations which can hardly break the wall between partial autonomous and fully autonomous driving.

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Adeeb, Karam, and Adam Alveteg. "SIYA - Slide Into Your Albums : Design and construction of a controllable dolly camera with object recognition." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264450.

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The scope of this project is to design, construct and build an automated camera rig with object recognition. The project explores if there are any advantages with an automated camera rig compared to a manual one, how an external camera module can be implemented to track an object and under what circumstances the camera module can register the objects for optimal performance. The construction is built to travel along a rail of two iron pipes. A camera is mounted on a small wagon that travels on top of the rail with the help of a DC-motor. On the wagon, an external camera module called Pixy2 det

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ULRICH, LUCA. "RGB-D methodologies for Face Expression Recognition." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2872356.

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Sarella, Kanthi. "An image processing technique for the improvement of Sign2 using a dual camera approach /." Online version of thesis, 2008. http://hdl.handle.net/1850/5721.

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Colberg, Kathryn. "Investigating the ability of automated license plate recognition camera systems to measure travel times in work zones." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49048.

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This thesis evaluates the performance of a vehicle detection technology, Automated License Plate Recognition (ALPR) camera systems, with regards to its ability to produce real-time travel time information in active work zones. A literature review was conducted to investigate the ALPR technology as well as to identify other research that has been conducted using ALPR systems to collect travel time information. Next, the ALPR technology was tested in a series of field deployments in both an arterial and a freeway environment. The goal of the arterial field deployment was to evaluate the optim

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Minetto, Rodrigo 1983. "Detecção robusta de movimento de camera em videos por analise de fluxo otico ponderado." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276203.

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Orientadores: Neucimar Jeronimo Leite, Jorge Stolfi<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-09T20:36:43Z (GMT). No. of bitstreams: 1 Minetto_Rodrigo_M.pdf: 4634555 bytes, checksum: 6335c719fb04357e47f9dd14b51fbaa9 (MD5) Previous issue date: 2007<br>Resumo: Nosso objetivo nesta dissertação é a detecção robusta de movimento de câmera (tilt, pan, roll e zoom) em vídeos. Para tanto, desenvolvemos um algoritmo original para esta tarefa, baseado em um ajuste ponderado de mínimos quadrados de um fluxo ótico, onde

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Zagnoli, Andrea. "Human Activity Recognition con telecamere di profondità." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12946/.

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Lo studio presentato in questa Tesi si propone di elaborare, implementare e testare un algoritmo di Human Activity Recognition (HAR) basato su telecamere di profondità. Per HAR si intende quel settore del machine learning che mira a studiare tecniche che, tramite l’acquisizione di informazioni da sorgenti di diverso tipo, permettano ad una macchina di apprendere in modo autonomo un metodo di classificazione delle attività umane. In particolare l’algoritmo proposto sfrutta la tecnologia delle telecamere di profondità (il sensore utilizzato è il Microsoft Kinect) che a differenza delle tradi

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Carraro, Marco. "Real-time RGB-Depth preception of humans for robots and camera networks." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426800.

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This thesis deals with robot and camera network perception using RGB-Depth data. The goal is to provide efficient and robust algorithms for interacting with humans. For this reason, a special care has been devoted to design algorithms which can run in real-time on consumer computers and embedded cards. The main contribution of this thesis is the 3D body pose estimation of the human body. We propose two novel algorithms which take advantage of the data stream of a RGB-D camera network outperforming the state-of-the-art performance in both single-view and multi-view tests. While the first algo

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Wang, Chong, and 王翀. "Joint color-depth restoration with kinect depth camera and its applications to image-based rendering and hand gesture recognition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206343.

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Rönnqvist, Patrik. "Surveillance Applications : Image Recognition on the Internet of Things." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-18557.

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This is a B.Sc. thesis within the Computer Science programme at the Mid Sweden University. The purpose of this project has been to investigate the possibility of using image based surveillance in smart applications on the Internet-of-Things. The goals involved investigating relevant technologies and designing, implementing and evaluating an application that can perform image recognition. A number of image recognition techniques have been investigated and the use of color histograms has been chosen for its simplicity and low resource requirement. The main source of study material has been the I

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Graumann, Jean-Marc. "Intelligent optical methods in image analysis for human detection." Thesis, Brunel University, 2005. http://bura.brunel.ac.uk/handle/2438/7892.

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This thesis introduces the concept of a person recognition system for use on an integrated autonomous surveillance camera. Developed to enable generic surveillance tasks without the need for complex setup procedures nor operator assistance, this is achieved through the novel use of a simple dynamic noise reduction and object detection algorithm requiring no previous knowledge of the installation environment and without any need to train the system to its installation. The combination of this initial processing stage with a novel hybrid neural network structure composed of a SOM mapper and an M

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Bubeník, Martin. "RaspberryPI kamerový checker." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-402129.

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The diploma thesis deals with the industrial inspection of correctly made connectors based on computer recognition, and the detection and recognition application is implemented in Python on the Raspberry Pi platform.The work uses empirically known OpenCV library for recognition. The work also deals with the selection of suitable hardware devices, which are a camera with a lens and an illuminator, from which is created one compact device together with the Raspberry Pi microcomputer. The compact device is further mounted on the designed mechanical structure under which is created inspection zone

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Bodén, Rikard, and Jonathan Pernow. "SORTED : Serial manipulator with Object Recognition Trough Edge Detection." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264513.

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Today, there is an increasing demand for smart robots that can make decisions on their own and cooperate with humans in changing environments. The application areas for robotic arms with camera vision are likely to increase in the future of artificial intelligence as algorithms become more adaptable and intelligent than ever. The purpose of this bachelor’s thesis is to develop a robotic arm that recognises arbitrarily placed objects with camera vision and has the ability to pick and place the objects when they appear in unpredictable positions. The robotic arm has three degrees of freedom and

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Dadej, Vincent. "Raspberry Pi: programování v prostředí Matlab/Simulink." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-320104.

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The diploma thesis focuses on programming in the Matlab for the Raspberry Pi 3 platform. For the purpose of the presentation, there are two applications designed for Raspberry Pi that are using available hardware, camera and servos. The first application serves as colour object detecting and accurate tracking by using camera calibration. The second application serves as a face detection and recognition. These applications are implemented by modern methods and knowledge of computer vision. Tracking of the objects and face recognition are verified by an experiment that reveals the accuracy of th

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Kannala, J. (Juho). "Models and methods for geometric computer vision." Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514261510.

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Abstract Automatic three-dimensional scene reconstruction from multiple images is a central problem in geometric computer vision. This thesis considers topics that are related to this problem area. New models and methods are presented for various tasks in such specific domains as camera calibration, image-based modeling and image matching. In particular, the main themes of the thesis are geometric camera calibration and quasi-dense image matching. In addition, a topic related to the estimation of two-view geometric relations is studied, namely, the computation of a planar homography from corre

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Krutílek, Jan. "Systémy průmyslového vidění s roboty Kuka a jeho aplikace na rozpoznávání volně ložených prvků." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-229174.

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Diploma thesis deals with a robot vision and its application to the problem of manipulation of coincidentally placed objects. There is mentioned an overview of current principles of the most frequently used vision systems on the market. With regard to the required task to be solved, there are mentioned various possibilities of using basic softsensors during the recognition of different objects. The objective of this Diploma thesis is also programming and realization of a demonstration application applying knowledge of PLC programming, knowledge of expert programming KRL language (for KUKA robo

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Taha, Abu Snaineh Sami. "AUTOMATIC PERFORMANCE LEVEL ASSESSMENT IN MINIMALLY INVASIVE SURGERY USING COORDINATED SENSORS AND COMPOSITE METRICS." UKnowledge, 2013. http://uknowledge.uky.edu/cs_etds/12.

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Skills assessment in Minimally Invasive Surgery (MIS) has been a challenge for training centers for a long time. The emerging maturity of camera-based systems has the potential to transform problems into solutions in many different areas, including MIS. The current evaluation techniques for assessing the performance of surgeons and trainees are direct observation, global assessments, and checklists. These techniques are mostly subjective and can, therefore, involve a margin of bias. The current automated approaches are all implemented using mechanical or electromagnetic sensors, which suffer l

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Darmadi, Steve. "Strobed IR Illumination for Image Quality Improvement in Surveillance Cameras." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235632.

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Infrared (IR) illumination is commonly found in a surveillance camera to improve night-time recording quality. However, the limited available power from Power over Ethernet (PoE) connection in networkenabled cameras restricts the possibilities of increasing image quality by allocating more power to the illumination system.The thesis explored an alternative way to improve the image quality by using strobed IR illumination. Different strobing methods will be discussed in relation to the rolling shutter timing commonly used in CMOS sensors. The method that benefits the evaluation scenario the mos

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Yang, Shih-Chuan, and 楊世詮. "Human Action Recognition Using Kinect Camera." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/76928392913615657701.

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碩士<br>義守大學<br>資訊工程學系<br>101<br>An action is composed of a sequence of postures with a high degree of complexity in time and space, and thus it has become one of important issues to effectively recognize high-level semantic about human action. Along with rapid development of human-machine interface technology, the body sensing device has been gradually changed into video camera to capture the human action. In particular, Microsoft released Kinect sensor with infrared camera in 2010, which is gradually widely used in digital teaching, medical applications, animation and other applications. In th

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Lu, Chen-Che, and 盧清治. "Application Of Web Camera In Dices Recognition." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/08847007594270303858.

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碩士<br>南台科技大學<br>資訊工程系<br>94<br>Nowadays, the Web camera has been broadly used and applied to many fields in industry. The purpose of this research is to study real-time pattern recognition using the Web camera, which is a promising solution to some fields in modern computer industry such as keyboard recognition. In this paper, an effective real-time pattern recognition system using the Web camera is proposed and evaluated against real objects - dices. First, the system converted the original image from RGB to HSV color space, followed by polarizing the image. The observed image further went th

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Hu, Jhen-Da, and 胡振達. "Hybrid Hand Gesture Recognition Based on Depth Camera." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/7febjn.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>103<br>Hand gesture recognition (HRG) becomes one of most popular topics in recent years because that hand gesture is one of the most natural and intuitive way of communication between Human and machines. It is widely used in HCI (Human-Computer-interaction). In this paper, we proposed a method for hand gesture recognition based on depth camera. Firstly, the hand information within depth image is separated from background based on a specific range of depth. And the contour of hand is detected after segmentation. After that, we estimate centroid of hand, and palm siz

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Huang, Tzu-Ta, and 黃自達. "Camera based Preprocessing System for Chinese Document Image Recognition." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/86838882293892444033.

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碩士<br>國立中央大學<br>資訊工程研究所<br>95<br>As we know, Chinese documents convey a lot of meaningful and useful information. Due to the popularization of digital cameras, it is convenient to take picture and retrieve important text information from the digitalized Chinese document images. A successful camera-based Chinese document processing system should overcome the problems resulted from various document formats, font sizes, and document skewing to extract correct text block without generating erroneous results. The major difference between Chinese documents and English documents is that Chinese chara

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Chiang, Cheng-Ming, and 姜政銘. "Single-camera Hand Gesture Recognition for Human-Computer Interface." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/14566311560453722557.

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碩士<br>國立交通大學<br>電子工程學系電子研究所<br>102<br>In this thesis, we propose a novel hand gesture recognition technique for a remote-control human computer interface (HCI) using a single visible-light camera. The system is mainly composed of an image projector and a camera installed on the left side of the panel. We wish to develop a human computer interface that is not limited to finger touching on the board, but allows remotely controlling the system. In this system, we develop our human computer interface in order to find the hand location and to recognize human hand gesture in cluttered backgrounds i

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Lin, Li-Wei, and 林立偉. "The Applications of Web Camera on Head Turning Recognition." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/47177539701971589181.

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碩士<br>南台科技大學<br>機械工程系<br>97<br>In this paper, a webcam is used to capture images, and combining image processing and neural network technology to develop a head rotation recognition system. First, to identify the face region, then to find out the locations of eyes and lips, and after that according to the head rotating angle, to identify the centers of gravity of the eyes and lips. Furthermore, three sides of the triangle based on the three centers of gravity are obtained, after appropriate calculations to obtain five characteristics. After normalizing these characteristics and the correspondi

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LIN, CHENG-YEN, and 林政諺. "Taiwanese Sign Language Recognition Using an RGB-D Camera." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/91582000909725784127.

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碩士<br>國立臺灣科技大學<br>機械工程系<br>104<br>In this thesis hand images were applied to perform sign language recognition through an RGB-D camera in general environments. Unlike many available methods focusing on number (from zero to nine) recognition in sign language, we proposed a method to perform Taiwanese sign language recognition, both for single vocabulary and sentences. For practical use, users first put their hands in front of the RGB-D camera with a distance between 40 cm and 70 cm. The depth information extracted from RGB-D camera was then used to construct the hand images and perform Taiwanes

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Lin, Yi-ta, and 林逸達. "3D Object Tracking and Recognition with RGB-Depth Camera." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/yn2qzy.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>106<br>The main purpose of this paper is 3D object tracking by using RGB-D camera. In addition, we would change our object during the tracking phase and our system can identify the new object. This paper is basically composed of three phases. The first phase is off-line training. The second phase is on-line tracking. The third phase is identification of the new object. In the first phase, we create three 3D models of the tracking objects which are box, cylinder and sphere, and we use a method to calculate the point pair features for each 3D model. Then, we store th

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Harguess, Joshua David. "Face recognition from video." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-12-4711.

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While the area of face recognition has been extensively studied in recent years, it remains a largely open problem, despite what movie and television studios would leave you to believe. Frontal, still face recognition research has seen a lot of success in recent years from any different researchers. However,the accuracy of such systems can be greatly diminished in cases such as increasing the variability of the database,occluding the face, and varying the illumination of the face. Further varying the pose of the face (yaw, pitch, and roll) and the face expression (smile, frown, etc.) adds ev

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Kuo, Wen-Te, and 郭文德. "Auto-Recognition and Performing of Music Score Captured By Camera." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/399v4q.

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碩士<br>國立臺北科技大學<br>電資碩士班<br>100<br>As the technology developed for the camera capturing images, people need faster and smarter method for processing. This paper focuses on the image processing of music scores captured from the video camera. There are two main goals. One, because the existing recognition software could not provide a good correction for the distorted image, the paper proposed an improved method. First of all, we cut the images into small pieces. Then, we used the Hough Transform to calculate the slope of each piece. When we obtained slope, we used tangent function to obtain the o

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