Fish Behavior Analysis Based on Computer Vision: A Survey-Reference-Cited by-同舟云学术

Fish Behavior Analysis Based on Computer Vision: A Survey

Published:2019 Issue: Volume: Page:130-141
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Zhou Yizhi,Yu Hong,Wu Junfeng,Cui Zhen,Zhang Fangyan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0121-0_10

Reference30 articles.

1. Henriques, S., Cardoso, P.: Processes underpinning fish species composition patterns in estuarine ecosystems worldwide. J. Biogeogr. 44(3), 627–639 (2016)

2. Popper, A.N., Carlson, T.J.: Application of sound and other stimuli to control fish behavior. Trans. Am. Fish. Soc. 127(5), 673–707 (1998)

3. Johansson, G.: Visual motion perception. Sci. Am. 232(6), 76–89 (1975)

4. Intelligent Systems Reference Library;MN Favorskaya,2015

5. Lu, H.D., Liu, Y.: Design and implementation of fish behavior automatic monitoring system based on computer vision. Fish. Mod. 21(21), 39–50 (2011)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of deep learning in fish habitat monitoring: A tutorial and survey;Expert Systems with Applications;2024-03

2. Status assessment and opportunities for improving fish welfare in animal experimental research according to the 3R-Guidelines;Reviews in Fish Biology and Fisheries;2023-05-12

3. Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning;PeerJ;2022-05-05

4. The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting;Lecture Notes in Computer Science;2022

5. Fish Segmentation in Sonar Images by Mask R-CNN on Feature Maps of Conditional Random Fields;Sensors;2021-11-17