Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter
During the last few decades, the utilization of unmanned aerial vehicles has grown in military and has seen new civil applications because of their reduced cost and hovering capabilities. This article presents a visual servoing system for detecting and tracking a moving object using an unmanned aeri...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2017-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717705549 |
| _version_ | 1797711747717529600 |
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| author | Mohammed Algabri Hassan Mathkour Mohamed Amine Mekhtiche Mohamed Abdelkader Bencherif Mansour Alsulaiman Mohammed Amer Arafah Hamid Ghaleb |
| author_facet | Mohammed Algabri Hassan Mathkour Mohamed Amine Mekhtiche Mohamed Abdelkader Bencherif Mansour Alsulaiman Mohammed Amer Arafah Hamid Ghaleb |
| author_sort | Mohammed Algabri |
| collection | DOAJ |
| description | During the last few decades, the utilization of unmanned aerial vehicles has grown in military and has seen new civil applications because of their reduced cost and hovering capabilities. This article presents a visual servoing system for detecting and tracking a moving object using an unmanned aerial vehicle. The system consists of two sequential components. The first component addresses the detection of a moving object, using the unmanned aerial vehicle based on color features. The second component addresses the visual servoing control that is designed to guide the unmanned aerial vehicle according to the target position and inclination. Three fuzzy logic modules are implemented in order to control the unmanned aerial vehicle in tracking a moving object. The proposed method is validated on a real flight using an AR.Drone 2.0 quadcopter. The obtained results show that the performance of the proposed method is suitable for object-following tasks in surveillance applications. This research investigates the use of unmanned aerial vehicle technology for crowd monitoring during Hajj and it could also be used for border surveillance to monitor Saudi Arabia’s borders. |
| first_indexed | 2024-03-12T07:10:39Z |
| format | Article |
| id | doaj.art-e5d5012b6ae442f2b7348b39706953ad |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T07:10:39Z |
| publishDate | 2017-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-e5d5012b6ae442f2b7348b39706953ad2023-09-02T23:08:16ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772017-04-011310.1177/1550147717705549Wireless vision-based fuzzy controllers for moving object tracking using a quadcopterMohammed AlgabriHassan MathkourMohamed Amine MekhticheMohamed Abdelkader BencherifMansour AlsulaimanMohammed Amer ArafahHamid GhalebDuring the last few decades, the utilization of unmanned aerial vehicles has grown in military and has seen new civil applications because of their reduced cost and hovering capabilities. This article presents a visual servoing system for detecting and tracking a moving object using an unmanned aerial vehicle. The system consists of two sequential components. The first component addresses the detection of a moving object, using the unmanned aerial vehicle based on color features. The second component addresses the visual servoing control that is designed to guide the unmanned aerial vehicle according to the target position and inclination. Three fuzzy logic modules are implemented in order to control the unmanned aerial vehicle in tracking a moving object. The proposed method is validated on a real flight using an AR.Drone 2.0 quadcopter. The obtained results show that the performance of the proposed method is suitable for object-following tasks in surveillance applications. This research investigates the use of unmanned aerial vehicle technology for crowd monitoring during Hajj and it could also be used for border surveillance to monitor Saudi Arabia’s borders.https://doi.org/10.1177/1550147717705549 |
| spellingShingle | Mohammed Algabri Hassan Mathkour Mohamed Amine Mekhtiche Mohamed Abdelkader Bencherif Mansour Alsulaiman Mohammed Amer Arafah Hamid Ghaleb Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter International Journal of Distributed Sensor Networks |
| title | Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter |
| title_full | Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter |
| title_fullStr | Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter |
| title_full_unstemmed | Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter |
| title_short | Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter |
| title_sort | wireless vision based fuzzy controllers for moving object tracking using a quadcopter |
| url | https://doi.org/10.1177/1550147717705549 |
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