DocumentCode :
263241
Title :
Ground vehicle detection through aerial images taken by a UAV
Author :
Perez, A. ; Chamoso, Pablo ; Parra, Victor ; Sanchez, Antonio Juan
Author_Institution :
Comput. & Autom. Control Dept., Univ. of Salamanca, Salamanca, Spain
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
Advantages in the application of intelligent approaches, such as the conjunction of artificial vision and Unmanned Aerial Vehicles (UAV), have been recently emerging. This paper presents a system capable of detecting ground vehicles through aerial images taken by a UAV in real time. In addition, the system offers the possibility to autonomously guide the UAV to keep track of a vehicle that has been previously detected.
Keywords :
autonomous aerial vehicles; object detection; object tracking; robot vision; UAV; aerial images; ground vehicle detection; unmanned aerial vehicles; vehicle tracking; Cameras; Computers; Neural networks; Software; Target tracking; Vehicles; Convolutional Neural Networks; Multi-Agent Systems; Unmanned Aerial Vehicle; Vehicle detection; Vehicle tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location :
Salamanca
Type :
conf
Filename :
6916236
Link To Document :
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