Colour-based object detection and tracking for autonomous Quadrotor UAV

With robotics becoming a fundamental aspect of modern society, further research and consequent application is ever increasing. Aerial robotics, in particular, covers applications such as surveillance in hostile military zones or search and rescue operations in disaster stricken areas, where ground n...

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Main Authors:	Kadouf, Hani Hunud A, Mohd Mustafah, Yasir
Format:	Article
Language:	English
Published:	IOP Publishing 2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/35994/ http://irep.iium.edu.my/35994/ http://irep.iium.edu.my/35994/1/5._Colour-based_Object_Detection_and_Tracking_for_Autonomous_Quadrotor_UAV.pdf

id	iium-35994
recordtype	eprints
spelling	iium-359942014-03-11T01:20:06Z http://irep.iium.edu.my/35994/ Colour-based object detection and tracking for autonomous Quadrotor UAV Kadouf, Hani Hunud A Mohd Mustafah, Yasir T Technology (General) With robotics becoming a fundamental aspect of modern society, further research and consequent application is ever increasing. Aerial robotics, in particular, covers applications such as surveillance in hostile military zones or search and rescue operations in disaster stricken areas, where ground navigation is impossible. The increased visual capacity of UAV's (Unmanned Air Vehicles) is also applicable in the support of ground vehicles to provide supplies for emergency assistance, for scouting purposes or to extend communication beyond insurmountable land or water barriers. The Quadrotor, which is a small UAV has its lift generated by four rotors and can be controlled by altering the speeds of its motors relative to each other. The four rotors allow for a higher payload than single or dual rotor UAVs, which makes it safer and more suitable to carry camera and transmitter equipment. An onboard camera is used to capture and transmit images of the Quadrotor's First Person View (FPV) while in flight, in real time, wirelessly to a base station. The aim of this research is to develop an autonomous quadrotor platform capable of transmitting real time video signals to a base station for processing. The result from the image analysis will be used as a feedback in the quadrotor positioning control. To validate the system, the algorithm should have the capacity to make the quadrotor identify, track or hover above stationary or moving objects. IOP Publishing 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/35994/1/5._Colour-based_Object_Detection_and_Tracking_for_Autonomous_Quadrotor_UAV.pdf Kadouf, Hani Hunud A and Mohd Mustafah, Yasir (2013) Colour-based object detection and tracking for autonomous Quadrotor UAV. IOP Conference Series: Materials Science and Engineering, 53 (1). 012086. ISSN 1757-8981 http://stacks.iop.org/1757-899X/53/i=1/a=012086
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Kadouf, Hani Hunud A Mohd Mustafah, Yasir Colour-based object detection and tracking for autonomous Quadrotor UAV
description	With robotics becoming a fundamental aspect of modern society, further research and consequent application is ever increasing. Aerial robotics, in particular, covers applications such as surveillance in hostile military zones or search and rescue operations in disaster stricken areas, where ground navigation is impossible. The increased visual capacity of UAV's (Unmanned Air Vehicles) is also applicable in the support of ground vehicles to provide supplies for emergency assistance, for scouting purposes or to extend communication beyond insurmountable land or water barriers. The Quadrotor, which is a small UAV has its lift generated by four rotors and can be controlled by altering the speeds of its motors relative to each other. The four rotors allow for a higher payload than single or dual rotor UAVs, which makes it safer and more suitable to carry camera and transmitter equipment. An onboard camera is used to capture and transmit images of the Quadrotor's First Person View (FPV) while in flight, in real time, wirelessly to a base station. The aim of this research is to develop an autonomous quadrotor platform capable of transmitting real time video signals to a base station for processing. The result from the image analysis will be used as a feedback in the quadrotor positioning control. To validate the system, the algorithm should have the capacity to make the quadrotor identify, track or hover above stationary or moving objects.
format	Article
author	Kadouf, Hani Hunud A Mohd Mustafah, Yasir
author_facet	Kadouf, Hani Hunud A Mohd Mustafah, Yasir
author_sort	Kadouf, Hani Hunud A
title	Colour-based object detection and tracking for autonomous Quadrotor UAV
title_short	Colour-based object detection and tracking for autonomous Quadrotor UAV
title_full	Colour-based object detection and tracking for autonomous Quadrotor UAV
title_fullStr	Colour-based object detection and tracking for autonomous Quadrotor UAV
title_full_unstemmed	Colour-based object detection and tracking for autonomous Quadrotor UAV
title_sort	colour-based object detection and tracking for autonomous quadrotor uav
publisher	IOP Publishing
publishDate	2013
url	http://irep.iium.edu.my/35994/ http://irep.iium.edu.my/35994/ http://irep.iium.edu.my/35994/1/5._Colour-based_Object_Detection_and_Tracking_for_Autonomous_Quadrotor_UAV.pdf
first_indexed	2023-09-18T20:51:32Z
last_indexed	2023-09-18T20:51:32Z
_version_	1777410026709712896

Colour-based object detection and tracking for autonomous Quadrotor UAV

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