Automatic Recognition of Fish Behavior with a Fusion of RGB and Optical Flow Data Based on Deep Learning
出版年份 2021 全文链接
标题
Automatic Recognition of Fish Behavior with a Fusion of RGB and Optical Flow Data Based on Deep Learning
作者
关键词
-
出版物
Animals
Volume 11, Issue 10, Pages 2774
出版商
MDPI AG
发表日期
2021-09-24
DOI
10.3390/ani11102774
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
- Automatic recognition methods of fish feeding behavior in aquaculture: A review
- (2020) Daoliang Li et al. AQUACULTURE
- Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network
- (2020) Qin Ren et al. AQUACULTURAL ENGINEERING
- Deep learning for smart fish farming: applications, opportunities and challenges
- (2020) Xinting Yang et al. Reviews in Aquaculture
- Automatic Classification of Cichlid Behaviors Using 3D Convolutional Residual Networks
- (2020) Lijiang Long et al. iScience
- Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision
- (2019) Chao Zhou et al. AQUACULTURE
- Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review
- (2019) Daoliang Li et al. Reviews in Aquaculture
- Abnormal Water Quality Monitoring Based on Visual Sensing of Three-Dimensional Motion Behavior of Fish
- (2019) Shuhong Cheng et al. Symmetry-Basel
- A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture
- (2019) Håkon Måløy et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Visual features based automated identification of fish species using deep convolutional neural networks
- (2019) Hafiz Tayyab Rauf et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- 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
- Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture
- (2018) Chao Zhou et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Pixel-level image fusion: A survey of the state of the art
- (2017) Shutao Li et al. Information Fusion
- Water quality monitoring using abnormal tail-beat frequency of crucian carp
- (2015) Gang Xiao et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- Natural swimming speed ofDascyllus reticulatusincreases with water temperature
- (2015) Cigdem Beyan et al. ICES JOURNAL OF MARINE SCIENCE
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Biological early warning system based on the responses of aquatic organisms to disturbances: A review
- (2013) Mi-Jung Bae et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 3D Convolutional Neural Networks for Human Action Recognition
- (2012) Shuiwang Ji et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now