Analyzing Underwater Videos for Fish Detection, Counting and Classification
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-37218-7_49
Reference18 articles.
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3. Prabowo, M.R., Hudayani, N., et al.: A moving objects detection in underwater video using subtraction of the background model. In: 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Yogyakarta, pp. 1–4 (2017). https://doi.org/10.1109/eecsi.2017.8239148
4. Palazzo, S., Kavasidis, I., Spampinato, C.: Covariance based modeling of underwater scenes for fish detection. In: 2013 IEEE International Conference on Image Processing. IEEE (2013)
5. Rathi, D., Jain, S., Indu, S.: Underwater fish species classification using convolutional neural network and deep learning. In: 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR). IEEE (2017)
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