Efficient tuna detection and counting with improved YOLOv8 and ByteTrack in pelagic fisheries
Accurate estimation of tuna catch is crucial for effective pelagic fishery management and resource conservation. However, existing manual counting methods suffer from issues such as low accuracy and poor timeliness, highlighting the urgent need for an efficient and automated solution. This paper pro...
Saved in:
| Main Authors: | Yuanchen Cheng, Zichen Zhang, Yuqing Liu, Jie Li, Zhou Fu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
|
| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125001256 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework
by: Jinjiang Liu, et al.
Published: (2024-12-01) -
Behavior Tracking and Analyses of Group-Housed Pigs Based on Improved ByteTrack
by: Shuqin Tu, et al.
Published: (2024-11-01) -
A YOLOv8n-T and ByteTrack-Based Dual-Area Tracking and Counting Method for Cucumber Flowers
by: Liyang Su, et al.
Published: (2025-07-01) -
A Two-Point Association Tracking System Incorporated With YOLOv11 for Real-Time Visual Tracking of Laparoscopic Surgical Instruments
by: Nyi Nyi Myo, et al.
Published: (2025-01-01) -
Infrared and Visible Camera Integration for Detection and Tracking of Small UAVs: Systematic Evaluation
by: Ana Pereira, et al.
Published: (2024-11-01)