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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.18 No.3
- 발행연도
- 2018.9
- 수록면
- 182 - 189 (8page)
- DOI
- 10.5391/IJFIS.2018.18.3.182
이용수
초록· 키워드
오류제보하기
Multiple object detection and tracking are essential for video surveillance. A drone or unmanned aerial vehicle (UAV) is very useful for aerial surveillance due to the efficiency of capturing remote scenes. This paper addresses the detection and tracking of moving vehicles with a UAV. A UAV can capture video sequences above the road at a distance. The detection step consists of frame differencing followed by thresholding, morphological filtering, and removing false alarms considering the true size of vehicles. The centroids of the detected areas are considered as measurements for tracking. Tracking is performed with Kalman filtering to estimate the state of the target based on the dynamic state model and measured positions. In the experiment, three moving cars are captured at a long distance by a drone. Experimental results show that the proposed method well detects moving cars and achieves good accuracy in tracking their dynamic state.
목차
Abstract
1. Introduction
2. Object Detection with Frame Differencing
3. Target Tracking with Kalman Filtering
4. Results
5. Conclusion
References
참고문헌 (24)
참고문헌 신청
A. Hampapur / 2003 / Smart surveillance: applications, technologies and implications / Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific Rim Conference on Multimedia :1133~1138
R. Kumar / 2001 / Aerial video surveillance and exploitation / Proceedings of the IEEE 89(10):1518~1539
W. Chung / 2016 / A two-stage foreground propagation for moving object detection in a non-stationary / Proceedings of 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) :187~193
C. H. Yeh / 2017 / Three-pronged compensation and hysteresis thresholding for moving object detection in real-time video surveillance / IEEE Transactions on Industrial Electronics 64(6):4945~4955
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
R. Kumar / 2001 / Aerial video surveillance and exploitation / Proceedings of the IEEE 89(10):1518~1539
W. Chung / 2016 / A two-stage foreground propagation for moving object detection in a non-stationary / Proceedings of 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) :187~193
C. H. Yeh / 2017 / Three-pronged compensation and hysteresis thresholding for moving object detection in real-time video surveillance / IEEE Transactions on Industrial Electronics 64(6):4945~4955
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
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