Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++
Authors
Keywords
Aquaculture, Abnormal behavior, Deep learning, Target detection, Target tracking
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 192, Issue -, Pages 106512
Publisher
Elsevier BV
Online
2021-11-25
DOI
10.1016/j.compag.2021.106512
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- YOLO fish detection with Euclidean tracking in fish farms
- (2021) Youssef Wageeh et al. Journal of Ambient Intelligence and Humanized Computing
- Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network
- (2021) Xuelong Hu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Identification methodology of special behaviors for fish school based on spatial behavior characteristics
- (2021) Xiaoning Yu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Real-time nondestructive fish behavior detecting in mixed polyculture system using deep-learning and low-cost devices
- (2021) Jun Hu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Low salinity induced challenges in the hardy fish Heteropneustes fossilis; future prospective of aquaculture in near coastal zones
- (2021) Abhipsa Bal et al. AQUACULTURE
- Deep learning for smart fish farming: applications, opportunities and challenges
- (2020) Xinting Yang et al. Reviews in Aquaculture
- Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision
- (2019) Chao Zhou et al. AQUACULTURE
- Modified motion influence map and recurrent neural network-based monitoring of the local unusual behaviors for fish school in intensive aquaculture
- (2018) Jian Zhao et al. AQUACULTURE
- Representation of freshwater aquaculture fish behavior in low dissolved oxygen condition based on 3D computer vision
- (2018) Y. J. Bao et al. MODERN PHYSICS LETTERS B
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Spatial behavioral characteristics and statistics-based kinetic energy modeling in special behaviors detection of a shoal of fish in a recirculating aquaculture system
- (2016) Jian Zhao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Research on realizing the 3D occlusion tracking location method of fish's school target
- (2016) Jiafa Mao et al. NEUROCOMPUTING
- High-Speed Tracking with Kernelized Correlation Filters
- (2015) Joao F. Henriques et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Automated visual tracking for studying the ontogeny of zebrafish swimming
- (2008) E. Fontaine et al. JOURNAL OF EXPERIMENTAL BIOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now