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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| Format: | Article |
| Language: | English |
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IOP Publishing
2013
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| Online Access: | 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 |
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| author | Kadouf, Hani Hunud A Mohd Mustafah, Yasir |
| author_facet | Kadouf, Hani Hunud A Mohd Mustafah, Yasir |
| author_sort | Kadouf, Hani Hunud A |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:44:53Z |
| format | Article |
| id | iium-35994 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:44:53Z |
| publishDate | 2013 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| spellingShingle | T Technology (General) Kadouf, Hani Hunud A Mohd Mustafah, Yasir Colour-based object detection and tracking for autonomous Quadrotor UAV |
| title | 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_short | Colour-based object detection and tracking for autonomous Quadrotor UAV |
| title_sort | colour-based object detection and tracking for autonomous quadrotor uav |
| topic | T Technology (General) |
| 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 |