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Dissertations / Theses on the topic 'Detection and tracking pedestrians'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Suppitaksakul, Chatchai. "Pedestrian detection and tracking." Thesis, Northumbria University, 2006. http://nrl.northumbria.ac.uk/488/.

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This report presents work on the detection and tracking of people in digital images. The employed detection technique is based on image processing and classification techniques. The work uses an object detection process to detect object candidate locations and a classification method using a Self-Organising Map neural network to identify the pedestrian head positions in an image. The proposed tracking technique with the support of a novel prediction method is based on the association of Cellular Automata (CA) and a Backpropagation Neural Network (BPNN). The tracking employs the CA to capture t

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Tabb, Ken John. "Detecting and tracking pedestrians using active contour models and neural networks." Thesis, University of Hertfordshire, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421260.

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Hasfura, Andrés Michael Levering. "Pedestrian detection and tracking for mobility on demand." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106011.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 69-72).<br>This paper presents a pedestrian detection and tracking system to be used aboard mobility on demand systems. Mobility on demand is a transportation paradigm in which a fleet of vehicles is shared among a community

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Führ, Gustavo. "Pedestrian tracking and collective behavior recognition." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/157971.

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A análise de comportamento coletivo e rastreamento de pedestres apresentam diversas aplicações, especialmente em sistemas de vigilância inteligente. Neste trabalho é proposta uma solução compreensiva com objetivo de atingir rastreamento de pedestre e reconhecimento de atividade coletiva de maneira robusta baseada na utilização de câmeras calibradas. Primeiramente, com o objetivo de remover a necessidade de calibração manual, nós apresentamos um método de calibração automática que explora detectores de pedestres e remoção de fundo para calibragem baseada em otimização não-linear. Adicionalmente

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Zuo, Tianyu. "An Efficient Vision-Based Pedestrian Detection and Tracking System for ITS Applications." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31778.

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In this thesis, a novel Pedestrian Protection System (PPS), composed of the Pedestrian Detection System (PDS) and the Pedestrian Tracking System (PTS), was proposed. The PPS is a supplementary application for the Advanced Driver Assistance System, which is used to avoid collisions between vehicles and pedestrians. The Pedestrian Detection System (PDS) is used to detect pedestrians from near to far ranges with the feature-classi er-based detection method (HOG + SVM). To achieve pedestrian detection from near to far ranges, a novel structure was proposed. The structure of our PDS consi

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Peng, Zeng. "Pedestrian Tracking by using Deep Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302107.

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This project aims at using deep learning to solve the pedestrian tracking problem for Autonomous driving usage. The research area is in the domain of computer vision and deep learning. Multi-Object Tracking (MOT) aims at tracking multiple targets simultaneously in a video data. The main application scenarios of MOT are security monitoring and autonomous driving. In these scenarios, we often need to track many targets at the same time which is not possible with only object detection or single object tracking algorithms for their lack of stability and usability. Therefore we need to explore the

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Reilly, Vladimir. "Detecting, Tracking, and Recognizing Activities in Aerial Video." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5454.

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In this dissertation we address the problem of detecting humans and vehicles, tracking their identities in crowded scenes, and finally determining human activities. First, we tackle the problem of detecting moving as well as stationary objects in scenes that contain parallax and shadows. We constrain the search of pedestrians and vehicles by representing them as shadow casting out of plane or (SCOOP) objects. Next, we propose a novel method for tracking a large number of densely moving objects in aerial video. We divide the scene into grid cells to define a set of local scene constraints w

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Eiselein, Volker [Verfasser], Thomas [Akademischer Betreuer] Sikora, Thomas [Gutachter] Sikora, Olaf [Gutachter] Hellwich, and Jian [Gutachter] Zhang. "Pedestrian tracking-by-detection for video surveillance applications / Volker Eiselein ; Gutachter: Thomas Sikora, Olaf Hellwich, Jian Zhang ; Betreuer: Thomas Sikora." Berlin : Technische Universität Berlin, 2019. http://d-nb.info/1200991249/34.

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Adiaviakoye, Ladji. "Observatoire de trajectoire de piétons à l'aide d'un réseau de télémètre laser à balayage : application à l'intérieur des bâtiments." Thesis, Angers, 2015. http://www.theses.fr/2015ANGE0086.

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Dans la vie de tous les jours, nous assistons à des chorégraphies surprenantes dans les déplacements de foules de piétons. Les mécanismes qui sont à la base de la dynamique des foules humaines restent peu connus. Un des modes d’observation des piétons consiste à réaliser des mesures en conditions réelles (exemple : aéroport, gare, etc.). La trajectoire empruntée, la vitesse et l’accélération sont les données de base pour une telle analyse. C’est dans ce contexte que se placent nos travaux qui combinent étroitement observations en milieu naturel et expérimentations contrôlées. Nous avons propos

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Jerrelind, Jakob. "Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579.

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Multi-target tracking (MTT) methods estimate the trajectory of targets from noisy measurement; therefore, they can be used to handle the pedestrian-vehicle interaction for a moving vehicle. MTT has an important part in assisting the Automated Driving System and the Advanced Driving Assistance System to avoid pedestrian-vehicle collisions. ADAS and ADS rely on correct estimates of the pedestrians' position and velocity, to avoid collisions or unnecessary emergency breaking of the vehicle. Therefore, to help the risk evaluation in these systems, the MTT needs to provide accurate and robust infor

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Shbib, Reda. "Pedestrians counting and event detection in crowded environment." Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/pedestrians-counting-and-event-detection-in-crowded-environment(76554ebe-0c0f-4409-9905-79b2f0b62bac).html.

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Crowd density estimation and pedestrian counting are becoming an area of interest such as assessing the social effect and impact between small groups of people within a crowd. Still, existing experimental crowd analyses performed by operators are time consuming. Generally, human controllers are engaged to achieve this task, however, more and more, visual surveillance are becoming an essential need, it is a hard task to watch and study all recorded video due to the huge number of cameras being installed. Currently, image-processing field has attracted all academic and research to develop automa

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Vojvoda, Jakub. "Sledování více osob ve videu z jedné kamery." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255308.

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Multiple person detection and tracking is challenging problem with high application potential. The difficulty of the problem is caused mainly by complexity of scene and large variations in articulation and appearance of person. The aim of this work is to design and implement system capable of detecting and tracking people in video from static mono-camera. For this purpose, an online method for tracking has been proposed based on tracking-by-detection approach. The method combines detection, tracking and fusion of responses to achieve accurate results. The implementation was evaluated on availa

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Keaikitse, Advice Seiphemo. "Long-term tracking of multiple interacting pedestrians using a single camera." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86632.

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Thesis (MSc)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Object detection and tracking are important components of many computer vision applications including automated surveillance. Automated surveillance attempts to solve the challenges associated with closed-circuit camera systems. These include monitoring large numbers of cameras and the associated labour costs, and issues related to targeted surveillance. Object detection is an important step of a surveillance system and must overcome challenges such as changes in object appearance and illumination, dynamic background objec

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Varytimidis, Dimitrios. "Detection and intention prediction of pedestrians in zebra crossings." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37939.

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Behavior of pedestrians who are moving or standing still close to the street could be one of the most significant indicators about pedestrian’s instant future actions. Being able to recognize the activity of a pedestrian, can reveal significant information about pedestrian’s crossing intentions. Thus, the scope of this thesisis to investigate ways and methods to improve understanding ofpedestrian´s activity and in particular detecting their motion and head orientation in relation to the surrounding traffic. Furthermore, different features and methods are examined, used and assessed according t

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Šťastný, Filip. "Mapování trajektorií pohybu chodců v záznamu pořízeným dronem." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417276.

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This master's thesis deals with pedestrian detection using neural networks in a video record captured by drone. Pedestrians are tracked, and their GPS coordinates are calculated using digital elevation models and mapped based on their identity and an information provided by the drone.

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Fischer, Carl. "Localisation, tracking, and navigation support for pedestrians in uninstrumented and unknown environments." Thesis, Lancaster University, 2012. http://eprints.lancs.ac.uk/65526/.

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Research into localisation and tracking of pedestrians is a growing area, but developed techniques have tended to be infrastructure-based or to rely on accessto prior information such as floorplans and maps. There are situations, such assearch and rescue missions, where more robust and versatile self-contained localisation systems are desirable. To our knowledge, this a relatively unexplored area of research. Relative localisation, involving only objects in the vicinity of the target being tracked, offers a partial solution by not requiring any infrastructure. We demonstrate and discuss some t

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Kalal, Zdenek. "Tracking learning detection." Thesis, University of Surrey, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540948.

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Al-Ridha, Moatasem Yaseen. "Object Detection and Tracking." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/theses/1083.

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An improved object tracking algorithm based Kalman filtering is developed in this thesis. The algorithm uses a median filter and morphological operations during tracking. The problem created by object shadows is identified and the primary focus is to incorporate shadow detection and removal to improve tracking multiple objects in complex scenes. It is shown that the Kalman filter, without the improvements, fails to remove shadows that connect different objects. The application of the median filter helps the separation of different objects and thus enables the tracking of multiple objects ind

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Stigson, Magnus. "Object Tracking Using Tracking-Learning-Detection inThermal Infrared Video." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93936.

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Automatic tracking of an object of interest in a video sequence is a task that has been much researched. Difficulties include varying scale of the object, rotation and object appearance changing over time, thus leading to tracking failures. Different tracking methods, such as short-term tracking often fail if the object steps out of the camera’s field of view, or changes shape rapidly. Also, small inaccuracies in the tracking method can accumulate over time, which can lead to tracking drift. Long-term tracking is also problematic, partly due to updating and degradation of the object model, lea

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Reverter, Valeiras David. "Event-based detection and tracking." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066566/document.

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L'objectif principal de cette thèse est le développement d'algorithmes événementiels pour la détection et le suivi d'objets. Ces algorithmes sont spécifiquement conçus pour travailler avec une sortie produite par des caméras neuromorphiques. Ce type de caméras sont un nouveau type de capteurs bio inspirés, dont le principe de fonctionnement s'inspire de la rétine: chaque pixel est indépendant et génère des événements de manière asynchrone lorsqu'un changement de luminosité suffisamment important est détecté à la position correspondante du plan focal. Cette nouvelle façon d'encoder l'informatio

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Wang, Benjamin. "Lip Detection and Adaptive Tracking." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1695.

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Performance of automatic speech recognition (ASR) systems utilizing only acoustic information degrades significantly in noisy environments such as a car cabins. Incorporating audio and visual information together can improve performance in these situations. This work proposes a lip detection and tracking algorithm to serve as a visual front end to an audio-visual automatic speech recognition (AVASR) system. Several color spaces are examined that are effective for segmenting lips from skin pixels. These color components and several features are used to characterize lips and to train cascaded li

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Masip, Sergi. "Detection and Tracking over Networks." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200568.

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Hultqvist, Daniel. "Detection and tracking of overtaking vehicles." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94583.

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The car has become bigger, faster and more advanced for each passing year since its first appearance, and the safety requirements have also become stricter. Computer vision based support is a growing area of safety features where the car is equipped with a mono- or stereo camera. It can be used for detecting pedestrians walking out in the street, give a warning for wild-life during a cold January night using night-vision cameras and much more. This master thesis investigates the problem of detecting and tracking overtaking vehicles. Vehicles that overtake are only partly visible in the beginn

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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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Isaksson, Palmqvist Mia. "Detection and tracking by camera networks." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199399.

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Iguernaissi, Rabah. "Comptage et suivi de personnes dans un réseau de caméras pour l'analyse comportementale." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0481/document.

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L’étude et la compréhension du comportement humain est devenue l’une des problématiques majeures dans différents secteurs d’activités. Ce besoin de comprendre les habitudes des individus a conduit plusieurs entreprises vers l’utilisation de vidéos pour l’analyse et l’interprétation des comportements. Ces raisons ont conduit à l’émergence de travaux de recherches qui ont pour objectif l’automatisation de ces procédures. De ce fait, l’étude du comportement humain est devenue l’un des principaux sujets de recherche dans le domaine de la vision par ordinateur, et de nombreuses solutions d’analyse

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Abakar, Issakha Souleymane. "Algorithms for the detection and localization of pedestrians and cyclists using new generation automotive radar systems." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S159.

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En réponse au nombre toujours élevé de décès provoqués par les accidents routiers, l'industrie automobile a fait de la sécurité un sujet majeur de son activité global. Les radars automobiles qui étaient de simples capteurs pour véhicule de confort, sont devenus des éléments essentiels de la norme de sécurité routière. Le domaine de l’automobile est un domaine très exigent en terme de sécurité et les radars automobiles doivent avoir des performances de détection très élevées et doivent répondre à des nombreuses contraintes telles que la facilité de production et/ou le faible coût. Cette thèse c

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Ergezer, Hamza. "Visual Detection And Tracking Of Moving Objects." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12609098/index.pdf.

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In this study, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Background subtraction has been performed to detect the moving objects in the video, which has been taken from a static camera. Four methods, frame differencing, running (moving) average, eigenbackground subtraction and mixture of Gaussians, have been used in the background subtraction process. After background subtraction, using some additional operations, such as morphological operations and connected component analysis, the objects to be tracked have been

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Case, Isaac. "Automatic object detection and tracking in video /." Online version of thesis, 2010. http://hdl.handle.net/1850/12332.

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Amara, Ashwini. "Object Detection and Tracking Using Uncalibrated Cameras." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1184.

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This thesis considers the problem of tracking an object in world coordinates using measurements obtained from multiple uncalibrated cameras. A general approach to track the location of a target involves different phases including calibrating the camera, detecting the object's feature points over frames, tracking the object over frames and analyzing object's motion and behavior. The approach contains two stages. First, the problem of camera calibration using a calibration object is studied. This approach retrieves the camera parameters from the known locations of ground data in 3D and their co

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Christiansen, Jonas Myhre. "Fully adaptive radar for detection and tracking." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587093543249087.

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Ferreira, Luís Francisco Bento. "CAMBADA@Home: detection and tracking of humans." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/11650.

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Mestrado em Engenharia Electrónica e Telecomunicações<br>Este trabalho apresenta uma abordagem ao problema da deteção e seguimento de humanos, usando uma câmara RGB-D. Existem soluções propostas para este tipo de problema, no entanto, algumas são baseadas em técnicas de extração de fundo ou outras e, como tal, necessitam que a câmara se encontre numa posição estacionária. Com o sistema proposto, a deteção e seguimento podem ser desempenhadas enquanto a câmara se move, em tempo real. O objetivo deste projeto é a implementação de um sistema de deteção e seguimento de pessoas para o robô

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Berg, Amanda. "Detection and Tracking in Thermal Infrared Imagery." Licentiate thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-126955.

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Thermal cameras have historically been of interest mainly for military applications. Increasing image quality and resolution combined with decreasing price and size during recent years have, however, opened up new application areas. They are now widely used for civilian applications, e.g., within industry, to search for missing persons, in automotive safety, as well as for medical applications. Thermal cameras are useful as soon as it is possible to measure a temperature difference. Compared to cameras operating in the visual spectrum, they are advantageous due to their ability to see in total

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Verhulsdonck, Tijmen. "One Shot Object Detection : For Tracking Purposes." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217252.

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One of the things augmented reality depends on is object tracking, which is a problem classically found in cinematography and security. However, the algorithms designed for the classical application are often too expensive computationally or too complex to run on simpler mobile hardware. One of the methods to do object tracking is with a trained neural network, this has already led to great results but is unfortunately still running into some of the same problems as the classical algorithms. For this reason a neural network designed specifically for object tracking on mobile hardware needs to

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Al, Haj Murad. "Looking at Faces: Detection, Tracking and Pose Estimation." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/113482.

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Els éssers humans podem percebre molt fàcilment les cares, les podem seguir en l’espai i temps, així com descodificar el seu contingut, com la seva postura, identitat o expressió. No obstant això, tot i moltes dècades d’investigació per desenvolupar un sistema amb percepció automàtica de cares, segueix sent difícil d’aconseguir una solució completa en àrees com la detecció de cares, el reconeixement de l’expressió facial, la estimació de la posició o el reconeixement de la cara. Això és degut a que la percepció facial automàtica abasta moltes àrees importants i difícils de la visió per computa

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Crockett, P. J. C. "Detection and tracking of solar magnetic bright points." Thesis, Queen's University Belfast, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546035.

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Mhalla, Ala. "Multi-object detection and tracking in video sequences." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC084/document.

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Le travail développé dans cette thèse porte sur l'analyse de séquences vidéo. Cette dernière est basée sur 3 taches principales : la détection, la catégorisation et le suivi des objets. Le développement de solutions fiables pour l'analyse de séquences vidéo ouvre de nouveaux horizons pour plusieurs applications telles que les systèmes de transport intelligents, la vidéosurveillance et la robotique. Dans cette thèse, nous avons mis en avant plusieurs contributions pour traiter les problèmes de détection et de suivi d'objets multiples sur des séquences vidéo. Les techniques proposées sont basées

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Wang, Zeng. "Laser-based detection and tracking of dynamic objects." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:c7f2da08-fa1e-4121-b06b-31aad16ecddd.

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In this thesis, we present three main contributions to laser-based detection and tracking of dynamic objects, from both a model-based point of view and a model-free point of view, with an emphasis on applications to autonomous driving. A segmentation-based detector is first proposed to provide an end-to-end detection of the classes car, pedestrian and bicyclist in 3D laser data amongst significant background clutter. We postulate that, for the particular classes considered, solving a binary classification task outperforms approaches that tackle the multi-class problem directly. This is confirm

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Micilotta, Antonio S. "Detection and tracking of humans for visual interaction." Thesis, University of Surrey, 2005. http://epubs.surrey.ac.uk/844174/.

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This thesis contributes, in essence, four developments to the field of computer vision. The first two present independent methods of locating and tracking body parts of the human body, where the main interest is not 3D biometric accuracy, but rather a sufficient discriminatory representation for visual interaction. Making use of a single uncalibrated camera, the first algorithm employs background suppression and a general approximation to body shape, applied within a particle filter framework. In order to maintain real-time performance, integral images are used for rapid computation of particl

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Ringh, Emil, and Martin Larsson. "Movement detection and tracking using wireless camera networks." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199270.

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Bergius, Joakim, and Mikael Hörlén. "Movement detection and tracking using wireless camera networks." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199269.

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Chen, Xiyan. "Automatic vehicle detection and tracking in aerial video." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/21743.

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This thesis is concerned with the challenging tasks of automatic and real-time vehicle detection and tracking from aerial video. The aim of this thesis is to build an automatic system that can accurately localise any vehicles that appear in aerial video frames and track the target vehicles with trackers. Vehicle detection and tracking have many applications and this has been an active area of research during recent years; however, it is still a challenge to deal with certain realistic environments. This thesis develops vehicle detection and tracking algorithms which enhance the robustness of d

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Marriage, Benjamin P. "Automatic detection and tracking of Southern Hemisphere cyclones." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/15271.

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The work contained in this thesis is toward producing an objective cyclone climatology of the extra-tropical regions of the Southern Hemisphere using observational data. The data identified as being the most appropriate for this task was the high resolution multi-spectral imagery produced by the Advanced Very High Resolution Radiometer (AVHRR) on board the National Oceanographic and Atmospheric Administration (NOAA) series of polar-orbiting satellites. A series of algorithms are presented to perform the automatic detection and tracking of cyclones in the Southern Hemisphere. Cloud detection wa

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Dunkel, Christopher T. "Person detection and tracking using binocular Lucas-Kanade feature tracking and k-means clustering." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219850371/.

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Uttley, Jim. "Investigating the visual tasks of pedestrians and how one of these tasks, obstacle detection, is influenced by lighting." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/12450/.

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Current guidelines for pedestrian road lighting are not based on empirical evidence. One approach to providing suitable evidence is to examine the effect of lighting on the visual tasks of pedestrians. This first requires an understanding of what these visual tasks are. An eye-tracking study was carried out in which pedestrians walked a real, outdoor route during the day and after-dark. A novel dual-task method was used to identify the critical visual tasks of the pedestrians. Reaction times to a concurrent audio response task were used to indicate instances when attention may have been divert

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Butler, Joseph MacKay. "Tracking and control in multi-function radar." Thesis, University College London (University of London), 1998. http://discovery.ucl.ac.uk/1317909/.

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The phased array multi-function radar is an effective solution to the requirement for simultaneous surveillance and multiple target tracking. However, since it is performing the jobs usually undertaken by several dedicated radars its radar time and energy resources are limited. For this reason, and also due to the large cost of active phased array antennas, it is important for the strategies adopted in the control of the radar to be efficient. This thesis investigates and develops efficient strategies for multi-function radar control and tracking. Particularly the research has focused on the u

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Yang, Keng-Yi, and 楊耕毅. "A Real-Time Pedestrians Detection and Tracking System Based on Computer Vision." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3yq6n2.

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碩士<br>中原大學<br>電子工程研究所<br>106<br>The surveillance systems have been widely used in our daily life. The functions of current surveillance systems simply record images, they cannot autonomous determine and referee the pedestrians. For these purposes, we use the manual monitoring. Focusing on the screen monitoring causes the fatigue of people and reduces the overall efficiency. This study proposes the methods of detection and tracking for pedestrians. When a pedestrian passes through the range of photography of the surveillance system, the system will automatically perform the detection and path t

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Pai, Chia-Jung, and 白家榮. "Pedestrian detection and tracking at crossing." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/31840508283186469752.

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碩士<br>國立臺灣師範大學<br>資訊教育研究所<br>90<br>This paper presents a system for pedestrian detection and tracking by using image processing techniques. It is an important task to protect pedestrians from impact, so we have to detect pedestrians fast and automatically. We propose a method which combines the pedestrian model and the walking rhythm of pedestrians. By using these spatial and temporal information, the detecting result will be accurate. And the technique of dynamical graph matching is used to track pedestrians. It is possible to inform the driver of the situation of the crossing by cooperating

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Kuo, Chi-Hong, and 郭志宏. "Monocular-vision pedestrian detection and tracking." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/43785972708792994820.

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碩士<br>國立中央大學<br>資訊工程研究所<br>99<br>Flowing the growth of economics, the amount of vehicles is rapidly increased and then the traffic accidents and consequentially piled up. Thus the development of vehicle collision avoidance system becomes more and more important. In urban areas, there are lots of pedestrians, bicycles, and motorcycles, thus the detection of the pedestrian-like bikes is the most important task. In this study, we proposed a pedestrian detection and tracking system using monocular camera to help drivers avoiding pedestrian traffic collision. In the proposed system, we first

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Wu, Ming-Hsiu, and 吳明修. "Efficient Pedestrian Detection Using Adaptive Object Tracking." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/83720175524943861984.

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