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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.20 No.1
- 발행연도
- 2020.3
- 수록면
- 43 - 51 (9page)
- DOI
- 10.5391/IJFIS.2020.20.1.43
이용수
초록· 키워드
오류제보하기
Small unmanned aerial vehicles can be effectively used for aerial video surveillance. Although the field of view of the camera mounted on the drone is limited, flying drones can expand their surveillance coverage. In this paper, we address the detection of moving targets in urban environments with a moving drone. The drone moves at a constant velocity and captures video clips of moving vehicles such as cars, buses, and bicycles. Moving vehicle detection consists of frame registration and subtraction followed by thresholding, morphological operations and false blob reduction. First, two consecutive frames are registered; the coordinates of the next frame are compensated by a displacement vector that minimizes the sum of absolute difference between the two frames. Second, the next compensated frame is subtracted from the current frame, and the binary image is generated by thresholding. Finally, morphological operations and false alarm removal extract the target blobs. In the experiments, the drone flies at a constant speed of 5.1 m/s at an altitude of 150 m while capturing video clips of nine moving targets. The detection and false alarm rates as well as the receiver operating characteristic curves are obtained, and the drone velocities in the x and y directions are estimated by the displacement vector. The average detection rate ranges from 90% to 97% while the false alarm rate ranges from 0.06 to 0.5. The root mean square error of the speed is 0.07 m/s when the reference frame is fixed, showing the robustness of the proposed method.
목차
Abstract
1. Introduction
2. Frame Registration and Moving Object Detection
3. Experimental Results
4. Conclusion
References
참고문헌 (18)
참고문헌 신청
Z. Zaheer / 2016 / Aerial surveillance system using UAV / Proceedings of the 13th International Conference on Wireless and Optical Communications Networks (WOCN) :1~7
A. Hampapur / 2003 / Smart surveillance: applications, technologies and implications / Proceedings of the 2013 Joint the 4th Pacific-Rim Conference on Multimedia :1133~1138
W. Chung / 2016 / A two-stage foreground propagation for moving object detection in a non-stationary / Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance :187~193
Y. Wu / 2017 / Moving object detection with a freely moving camera via background motion subtraction / IEEE Transactions on Circuits and Systems for Video Technology 27(2):236~248
A. Olugboja / 2016 / Detection of moving objects using foreground detector and improved morphological filter / Proceedings of the 3rd International Conference on Information Science and Control Engineering 2016:329~333
A. Hampapur / 2003 / Smart surveillance: applications, technologies and implications / Proceedings of the 2013 Joint the 4th Pacific-Rim Conference on Multimedia :1133~1138
W. Chung / 2016 / A two-stage foreground propagation for moving object detection in a non-stationary / Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance :187~193
Y. Wu / 2017 / Moving object detection with a freely moving camera via background motion subtraction / IEEE Transactions on Circuits and Systems for Video Technology 27(2):236~248
A. Olugboja / 2016 / Detection of moving objects using foreground detector and improved morphological filter / Proceedings of the 3rd International Conference on Information Science and Control Engineering 2016:329~333
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