합성곱 신경망(CNN) 기반 실시간 월파 감지 및 처오름 높이 산정
Real-time Wave Overtopping Detection and Measuring Wave Run-up Heights Based on Convolutional Neural Networks (CNN)
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참고문헌
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초록
본 연구에서는 인공지능을 활용한 영상분석 기술을 통해 영상 내의 월파를 실시간으로 감지하고 처오름 높이를 산정하는 기술을 제안하였다. 본 연구에서 제안한 월파 감지 시스템은 실시간으로 악기상 및 야간에도 월파를 감지할 수 있음을 확인하였다. 특히, 합성곱 신경망을 적용하여 실시간으로 CCTV 영상에서 파랑의 처오름을 감지하고 월파 여부를 판단하는 여과 알고리즘을 적용하여 월파의 발생 감지에 대한 정확성을 향상시켰다. AP50을 통해 월파 감지 결과의 정확도는 59.6%로 산정되었으며, 월파 감지 모델의 속도는 GPU 기준 70fps로 실시간 감지에 적합한 정확도와 속도를 보임을 확인하였다.
Abstract
The purpose of this study was to propose technology to detect the wave in the image in real-time, and calculate the height of the wave-overtopping through image analysis using artificial intelligence. It was confirmed that the proposed wave overtopping detection system proposed in this study could detect the occurring of wave overtopping, even in severe weather and at night in real-time. In particular, a filtering algorithm for determining if the wave overtopping event was used, to improve the accuracy of detecting the occurrence of wave overtopping, based on a convolutional neural networks to catch the wave overtopping in CCTV images in real-time. As a result, the accuracy of the wave overtopping detection through AP50 was reviewed as 59.6%, and the speed of the overtaking detection model was 70fps based on GPU, confirming that accuracy and speed are suitable for real-time wave overtopping detection.
참고문헌 (22)
- Bochkovskiy, A., "YOLOv4 : Optimal Speed and Accuracy of Object Detection", arXiv preprint arXiv:2004.10934, ~ (2020)
- Chi, S., "Field observation of wave overtopping at sea dike using shore-based video images", Journal of Hydrodynamics, 33, pp.57~672 (2021)
- 최은혜, "CCTV를 활용한 폭풍 해일의 월파 횟수 탐지 및 방재 시스템 설계", 멀티미디어학회논문지, 15(2), pp.258~265 (2012), 한국멀티미디어학회
- De Rouck J., "Wave Run-up on Sloping Coastal Structures : Prototype Versus Scale Model Results", Proc. Int. Conf.on Coastlines, Structures and Breakwaters 2001 (2001), Institution of Civil Engineers
- De Rouck, J., "Crest level assessment of coastal structures—General overview", Coastal Engineering, 56, pp.99~210 (2009)
- Girshick, R., "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", IEEE Conference on Computer Vision and Pattern Recognition, pp.580~587 (2014)
- Goda, Y, "Laboratory Investigation on the Overtopping Rates for Seawalls by Irregular Waves", Port and Harbour Research Institution, 14, pp.3~44 (1975)
- Goda, Y., "Derivation of unified wave overtopping formulas for seawalls with smooth, impermeable surfaces based on selected CLASH datasets", Coastal Engineering, 56, pp.385~399 (2009)
- Haridas, R., "Convolutional Neural Networks: A Comprehensive Survey", International Journal of Applied Engineering Research, 14, pp.780~789 (2019)
- LeCun, Y., "Gradient-Based Learning Applied to Document Recognition", Proceedings of the IEEE, 86, pp.2278~2324 (1998)
- 이용환, "객체 검출을 위한 CNN과 YOLO 성능 비교 실험", 반도체디스플레이기술학회지, 19(1), pp.85~92 (2020), 한국반도체디스플레이기술학회
- Liu, W., "SSD: Single Shot MultiBox Detector", European Conference on Computer Vision, pp.21~37 (2016)
- Ministry of Oceans and Fisheris, "Korea Design Standrard (KC Code KDS 64 10 10)", ~ (2020)
- Disaster Annual Report 2019, "Ministry of the Interior and Safety", 431~ (2020)
- Otsu, N., "A threshold selection method from gray-level histogram", IEEE Trans. on System Man Cybernetic, SMC-9(1), pp.62~66 (1979)
- Pullen, T., "EurOtop wave overtopping of sea defences and related structures: assessment manual", ~ (2007)
- Redmon, J., "You Only Look Once: Unified, RealTime Object Detection. Computer Vision and Pattern Recognition (CVPR)", 2016 IEEE Conference, pp.779~788 (2016)
- Redmon, J., "YOLO9000: Better, Faster, Stronger", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.7263~7271 (2017)
- Redmon, J., "YOLOv3: An Incremental Improvement", arXiv preprint arXiv:1804.02767, ~ (2018)
- Uijlings, J. R. R., "Selective Search for Object Recognition", International Journal of Computer Vision, 104(2), pp.154~171 (2013)
- Van der Meer, J. W., "Manual on Wave Overtopping of Sea Defenses and Related Structures—An Overtopping Manual Largely Based on European Research, But for Worldwide Application", ~ (2018)
- 윤한삼, "태풍 차바 내습시 해운대 마린시티의 호안 월파에 대한 고찰", 한국해양환경•에너지학회지, 20(3), pp.152~159 (2017), 한국해양환경·에너지학회[DOI]