Image recognition in UAV videos using convolutional neural networks
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Summary
This work focuses on the use of UAVs in the fishing sector in order to optimise the detection process of a shoal of fish by performing images recognition using the images acquired through videos captured by UAV in the open sea.
- Type
- article
- Published
- 2020-04-01
- Cited by
- 15
- References
- 36
- Access
- Open access
- OpenAlex
- https://openalex.org/W2947335470
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:192620524
Keywords
Convolutional neural network, Computer science, Artificial intelligence, Process (computing), Shoal
References
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- Food Image Recognition and Food Safety Detection Method Based on Deep Learning
- Cooperative path planning with priority target assignment and collision avoidance guidance for rescue unmanned surface vehicles in a complex ocean environment
- Research on Teaching Design of "UAV Teaching Experiment Platform" Based on Image Recognition
- Binary Semantic Segmentation of Dolphin on UAV Image Using U-Net
- Design and Application of Deep Processing of Fish Products Based on Three-Dimensional Image Recognition Algorithm
- Unmanned Aerial Vehicles (UAVs) in Marine Mammal Research: A Review of Current Applications and Challenges
- Activity Prediction in Tri Pramana Learning Concept in ResNet-based Virtual Reality Environment
- Deep Learning Based Object Detection with Unmanned Aerial Vehicle Equipped with Embedded System
- Fast Lung Image Segmentation Using Lightweight VAEL-Unet
- Monitoring mangrove-based blue carbon ecosystems using UAVs: a review
- A comprehensive review on computer vision analysis of aerial data
- YOLO-EGASF: A Small-Target Detection Algorithm for Surface Residual Film in UAV Imagery of Arid-Region Cotton Fields
- An Overview of Applications of Artificial Intelligence Using Different Techniques, Algorithms, and Tools
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