An Automatic Recognition Method for Fish Species and Length Using an Underwater Stereo Vision System
Developing new methods to detect biomass information on freshwater fish in farm conditions enables the creation of decision bases for precision feeding. In this study, an approach based on Keypoints R-CNN is presented to identify species and measure length automatically using an underwater stereo vi...
Main Authors: | Yuxuan Deng, Hequn Tan, Minghang Tong, Dianzhuo Zhou, Yuxiang Li, Ming Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | Fishes |
Subjects: | |
Online Access: | https://www.mdpi.com/2410-3888/7/6/326 |
Similar Items
-
Detection and Recognition of the Underwater Object with Designated Features Using the Technical Stereo Vision System
by: Vadim Kramar, et al.
Published: (2023-03-01) -
Location Recognition Using Stereo Vision
by: Braunegg, David J.
Published: (2004) -
Automatic Rectification of the Hybrid Stereo Vision System
by: Chengtao Cai, et al.
Published: (2018-10-01) -
Generalised deep learning model for semi-automated length measurement of fish in stereo-BRUVS
by: Daniel Marrable, et al.
Published: (2023-06-01) -
Improvement of AD-Census Algorithm Based on Stereo Vision
by: Yina Wang, et al.
Published: (2022-09-01)