[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128283-en":3,"doc-seo-128283-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128283,962085570644,"Evangeline","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","MULTI-TARGET DETECTION& TRACKING USING MACHINE LEARNING METHODOLOGIES - Master's Thesis","This master’s thesis presents a structured study on multi-target detection and tracking through machine learning methodologies. It outlines the research background and reviews prior work, then organizes core machine learning methods into supervised learning techniques, classical models such as support vector machines, decision trees, random forests, and modern deep learning approaches including convolutional neural networks, recurrent neural networks, and YOLO. The work includes academic compliance elements such as thesis approval, declaration of originality, and acknowledgment of supervision and support.","T.C.  \nISTANBUL ATLAS UNIVERSITY GRADUATE SCHOOL OF EDUCATION  \nMASTER'S THESIS  \nMULTI-TARGET DETECTION& TRACKING USING MACHINE LEARNING  \nMETHODOLOGIES  \nMuhammad JUNAID  \nDANIŞMAN  \nProf. Dr. Naim AJLOUNI  \nBilgisayar Mühendisliği Anabilim Dalı  \nProgram Adı  \nBilgisayar Mühendisliği(İngilizce) Programı  \nISTANBUL, 2024  \nT.C.  \nISTANBUL ATLAS UNIVERSITY GRADUATE SCHOOL OF EDUCATION  \nMASTER'S THESIS  \nMULTI-TARGET DETECTION& TRACKING USING MACHINE LEARNING  \nMETHODOLOGIES  \nMuhammad JUNAID  \nDANIŞMAN  \nProf. Dr. Naim AJLOUNI  \nAnabilim Dalı Adı  \nProgram Adı  \nT.C.  \nISTANBUL ATLAS UNIVERSITY GRADUATE INSTITUTE  \nTHESIS APPROVAL PAGE  \n\n| STUDENT NAME-SURNAME | Muhammad JUNAID |  |  |\n| --- | --- | --- | --- |\n| STUDENT NUMBER | 222116003 |  |  |\n| PROGRAM NAME | Computer Engineering (English) Program |  |  |\n| The thesis titled “Multi-Target Detection and Tracking Using Machine Learning Methodologies,” prepared by Mohammad Junaid in the Department of Computer Engineering at Istanbul Atlas University, has been accepted by the jury as a Master's thesis.\u003Cbr>Thesis Defense Date : 12/09/2024 |  |  |  |\n| Title, First Name, Last Name of Jury Member |  | Institution Affiliated | Signature |\n| Prof. Dr. Naim AJLOUNI |  | İstanbul Atlas Üniversitesi |  |\n| Doç . Dr. Ahmet GÜRHANLI |  | Topkapı Üniversitesi |  |\n| Dr. Öğretim Üyesi Adem ÖZYAVAŞ |  | İstanbul Atlas Üniversitesi |  |\n\nThis thesis has been approved by the jury in accordance with the relevant articles of the Graduate Education and Examination Regulations of Istanbul Atlas University and has been accepted by the decision of the Institute Administrative Board.  \nProf. Dr. Hafize UZUN  \nDirector of the Graduate Education Institute  \nDECLARATION  \nI hereby declare that this thesis is my own original work, and that I have adhered to scientific ethical principles and standards at all stages of preparation, data collection, analysis, and presentation of findings. I confirm that I have properly cited all data and information not obtained within the scope of this study and have included these sources in the bibliography. Furthermore, I declare that this work has been screened by the scientific plagiarism detection program used at Istanbul Atlas University and meets the prescribed standards. I acknowledge that if, at any time, it is determined that I have acted contrary to this declaration, I accept all moral and legal consequences that may arise.  \nMuhammad JUNAID  \n(İmza)  \nDEDICATION  \nI dedicate this to my spouse and child.  \nBUDGET SUPPORT  \nMULTI-TARGET DETECTION& TRACKING USING MACHINE LEARNING  \nMETHODOLOGIES  \nNo budget support has been received from any institution for this thesis study.  \nACKNOWLEDGMENT  \nI would like to thank and express my sincere gratitude and appreciation to my supervisor Prof. Naim Mahmood Musleh Ajlouni, for believing in me, guiding me, motivating me when it was tough, for giving advice and encouragement, and his time, patience and constant support towards the  \nsuccessful completion of this project.  \nI would like to also thank my family for their prayers and support while  \nI faced challenges throughout the cycle of this research. I thank friends and  \ncolleagues who were there for me, supported me, and encouraged me.  \nI thank God for his blessings, protection and grace.  \nMuhammad JUNAID  \nTable of Contents  \nTHESIS APPROVAL PAGE ...................................................................................... 3  \nDECLARATION.............................................................................................iii  \nDEDICATION................................................................................................. iv  \nBUDGET SUPPORT ....................................................................................... v  \n[ACKNOWLEDGMENT ................................................................................. vi](ACKNOWLEDGMENT ................................................................................. vi)","cbCaihWu0KSRAq4p","https://ap.wps.com/l/cbCaihWu0KSRAq4p","pdf",2377621,5,1,70,"English","en",105,"# Table of Contents\n## Thesis Approval Page\n## Declaration\n## Dedication\n## Budget Support\n## Acknowledgment\n## List of Abbreviations\n## List of Figures\n## ÖZET\n## ABSTRACT\n## 1. Introduction\n## 1.1 Research Background\n## 2. Literature Review\n## 3. Machine Learning Methods\n## 3.1 Introduction\n## 3.1.1 Supervised Learning Techniques\n## 3.1.2 Support Vector Machines (SVM)\n## 3.1.3 Decision Trees and Random Forests\n## 3.1.4 Deep Learning Models\n## 3.1.5 Convolutional Neural Networks (CNN)\n## 3.1.6 Recurrent Neural Networks (RNN)\n## 3.1.7 You Only Look Once (YOLO)","[{\"question\":\"What is the thesis topic and focus?\",\"answer\":\"The thesis focuses on multi-target detection and tracking using machine learning methodologies, covering both background research and modeling approaches.\"},{\"question\":\"Which supervised learning and deep learning methods are discussed?\",\"answer\":\"The document covers supervised learning techniques, SVM, decision trees, random forests, deep learning models including CNN and RNN, and the YOLO approach.\"},{\"question\":\"Does the thesis include formal academic compliance statements?\",\"answer\":\"Yes. It contains a thesis approval page, a declaration of originality and ethics compliance, and acknowledgment of supervision, support, and assistance.\"}]","MULTI-TARGET DETECTION& TRACKING USING MACHINE LEARNING METHODOLOGIES - Master's Thesis | PDF",1785946567,176,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"multi-target-detection-tracking-using-machine-learning-methodologies-masters-thesis","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/multi-target-detection-tracking-using-machine-learning-methodologies-masters-thesis/128283/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-28","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"What is the thesis topic and focus?","Question",{"text":77,"@type":78},"The thesis focuses on multi-target detection and tracking using machine learning methodologies, covering both background research and modeling approaches.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Which supervised learning and deep learning methods are discussed?",{"text":82,"@type":78},"The document covers supervised learning techniques, SVM, decision trees, random forests, deep learning models including CNN and RNN, and the YOLO approach.",{"name":84,"@type":75,"acceptedAnswer":85},"Does the thesis include formal academic compliance statements?",{"text":86,"@type":78},"Yes. It contains a thesis approval page, a declaration of originality and ethics compliance, and acknowledgment of supervision, support, and assistance.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,106,110,115,120,123,128,131,135],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":22,"slug":105},"Exam","exam",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":107,"show_sort_weight":108,"slug":109},"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":47,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":47,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":47,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":47,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":47,"category_name":137,"show_sort_weight":20,"slug":138},19,"General","general"]