Fish population estimation and species classification from underwater video sequences using blob counting and shape analysis

Author:

Fabic J. N.,Turla I. E.,Capacillo J. A.,David L. T.,Naval P. C.

Publisher

IEEE

Cited by 24 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. Automatic Fish Counting in Aquaculture with Dense Multi-scale Feature Aggregation Network;2023 42nd Chinese Control Conference (CCC);2023-07-24

2. Transfer Learning Approach for Epizootic Ulcerative Syndrome and Ichthyophthirius Disease Classification in Fish Species;2023 International Conference on Bio Signals, Images, and Instrumentation (ICBSII);2023-03-16

3. Marine Fish Object Detection Based on YOLOv5 and Attention Mechanism;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12

4. Underwater Holothurian Target-Detection Algorithm Based on Improved CenterNet and Scene Feature Fusion;Sensors;2022-09-22

5. Design of an Infrared Image Processing Pipeline for Robotic Inspection of Conveyor Systems in Opencast Mining Sites;Energies;2022-09-16

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