Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features

Object detection and tracking are important and challenging tasks in many computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. Video surveillance in a dynamic environment, especially for humans and vehicles, is one of the current challenging researc...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Rahim, Falah Jabar
التنسيق:	أطروحة
اللغة:	English
منشور في:	2015
الموضوعات:	TK7885-7895 Computer engineer Computer hardware
الوصول للمادة أونلاين:	http://eprints.utm.my/id/eprint/48752/25/FalahJabarRahimMFKE2015.pdf
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

id	my-utm-ep.48752
record_format	uketd_dc
spelling	my-utm-ep.487522020-06-23T07:36:03Z Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features 2015-01 Rahim, Falah Jabar TK7885-7895 Computer engineer. Computer hardware Object detection and tracking are important and challenging tasks in many computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. Video surveillance in a dynamic environment, especially for humans and vehicles, is one of the current challenging research topics in computer vision. In this thesis a tracking and location method for Unmanned Aerial VehicleVision System called UAV tracker is proposed. In this method, the target is extracted from the Region of Interested (ROI) automatically by Speeded Up Robust Features (SURF); then the Kanade–Lucas–Tomasi tracker is used to get the target’s position in the sequence images. The proposed framework learns about target appearance by updating the object module in each frame, which can further improve the robustness of tracker as well as feature extraction and matching process. Extensive experimental results are provided by comparing proposed algorithm with (15) related approaches on (15) challenging sequences, which demonstrate the robust tracking achieved by proposed tracker. Experimental results show that the proposed method deals with translation, rotation, partial occlusion, deformation, pose, scale changes, similar appearance and illumination change successfully. 2015-01 Thesis http://eprints.utm.my/id/eprint/48752/ http://eprints.utm.my/id/eprint/48752/25/FalahJabarRahimMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86762 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK7885-7895 Computer engineer Computer hardware
spellingShingle	TK7885-7895 Computer engineer Computer hardware Rahim, Falah Jabar Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features
description	Object detection and tracking are important and challenging tasks in many computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. Video surveillance in a dynamic environment, especially for humans and vehicles, is one of the current challenging research topics in computer vision. In this thesis a tracking and location method for Unmanned Aerial VehicleVision System called UAV tracker is proposed. In this method, the target is extracted from the Region of Interested (ROI) automatically by Speeded Up Robust Features (SURF); then the Kanade–Lucas–Tomasi tracker is used to get the target’s position in the sequence images. The proposed framework learns about target appearance by updating the object module in each frame, which can further improve the robustness of tracker as well as feature extraction and matching process. Extensive experimental results are provided by comparing proposed algorithm with (15) related approaches on (15) challenging sequences, which demonstrate the robust tracking achieved by proposed tracker. Experimental results show that the proposed method deals with translation, rotation, partial occlusion, deformation, pose, scale changes, similar appearance and illumination change successfully.
format	Thesis
qualification_level	Master's degree
author	Rahim, Falah Jabar
author_facet	Rahim, Falah Jabar
author_sort	Rahim, Falah Jabar
title	Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features
title_short	Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features
title_full	Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features
title_fullStr	Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features
title_full_unstemmed	Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features
title_sort	object tracking from unmanned aerial vehicle using kanade-lucas-tomasi tracker and speeded up robust features
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/48752/25/FalahJabarRahimMFKE2015.pdf
_version_	1747817467168686080

Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features

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