Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN
Joint Authors
Xu, Yongzheng
Yu, Guizhen
Wu, Xinkai
Ma, Yalong
Wang, Yunpeng
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
UAV based traffic monitoring holds distinct advantages over traditional traffic sensors, such as loop detectors, as UAVs have higher mobility, wider field of view, and less impact on the observed traffic.
For traffic monitoring from UAV images, the essential but challenging task is vehicle detection.
This paper extends the framework of Faster R-CNN for car detection from low-altitude UAV imagery captured over signalized intersections.
Experimental results show that Faster R-CNN can achieve promising car detection results compared with other methods.
Our tests further demonstrate that Faster R-CNN is robust to illumination changes and cars’ in-plane rotation.
Besides, the detection speed of Faster R-CNN is insensitive to the detection load, that is, the number of detected cars in a frame; therefore, the detection speed is almost constant for each frame.
In addition, our tests show that Faster R-CNN holds great potential for parking lot car detection.
This paper tries to guide the readers to choose the best vehicle detection framework according to their applications.
Future research will be focusing on expanding the current framework to detect other transportation modes such as buses, trucks, motorcycles, and bicycles.
American Psychological Association (APA)
Xu, Yongzheng& Yu, Guizhen& Wang, Yunpeng& Wu, Xinkai& Ma, Yalong. 2017. Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1170593
Modern Language Association (MLA)
Xu, Yongzheng…[et al.]. Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN. Journal of Advanced Transportation No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1170593
American Medical Association (AMA)
Xu, Yongzheng& Yu, Guizhen& Wang, Yunpeng& Wu, Xinkai& Ma, Yalong. Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1170593
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170593