A Machine Vision Approach for Underwater Remote Operated Vehicle to Detect Drowning Humans
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_0506207.pdf
Reference9 articles.
1. S.K. Yaswanthkumar, O.K. Praveen, R. V. Rohit, "Autonomous Utility Vehicle (Auvs) Based Emergency Human Drowning Detection System Using Sonar and Thermal Detection Methods," in 2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2019 - Proceedings, 2019, doi:10.1109/DISCOVER47552.2019.9007992.
2. D. Walther, D.R. Edgington, C. Koch, "Detection and tracking of objects in underwater video," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, doi:10.1109/cvpr.2004.1315079.
3. D.R. Edgington, K.A. Salamy, M. Risi, R.E. Sherlock, D. Walther, C. Koch, "Automated event detection in underwater video," in Oceans Conference Record (IEEE), 2003, doi:10.1109/oceans.2003.178344.
4. J. Kim, S.C. Yu, "Convolutional neural network-based real- Time ROV detection using forward-looking sonar image," in Autonomous Underwater Vehicles 2016, AUV 2016, 2016, doi:10.1109/AUV.2016.7778702.
5. G. Cutter, K. Stierhoff, J. Zeng, "Automated detection of rockfish in unconstrained underwater videos using haar cascades and a new image dataset: Labeled fishes in the wild," in Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2015, 2015, doi:10.1109/WACVW.2015.11.
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