Dronaquatics: Real-time Swimming Analytics Using Drone Captured Imagery

No abstract is available for this paper.

• Publication year

  year unknown

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Not labeled

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• YOLOv11: An Overview of the Key Architectural Enhancements

  2024cited by this paper
• Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning

  2024cited by this paper
• Analyzing Swimming Performance Using Drone Captured Aerial Videos

  2024influential reference
• Wearables in Swimming for Real-Time Feedback: A Systematic Review

  2022cited by this paper
• Automatic Swimming Activity Recognition and Lap Time Assessment Based on a Single IMU: A Deep Learning Approach

  2022cited by this paper
• Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification

  2021cited by this paper
• Swimmer Stroke Rate Estimation from Overhead Race Video

  2021cited by this paper
• Coaches’ perspective towards skill acquisition in swimming: What practice approaches are typically applied in training?

  2020cited by this paper
• Towards Automated Swimming Analytics Using Deep Neural Networks

  2020cited by this paper
• Pacing in Swimming: A Systematic Review

  2018cited by this paper
• Image based stroke-rate detection system for swim race analysis

  2018cited by this paper
• Benchmarking and Error Diagnosis in Multi-instance Pose Estimation

  2017influential reference
• Application of Video-Based Methods for Competitive Swimming Analysis: A Systematic Review

  2015cited by this paper
• Wearable inertial sensors in swimming motion analysis: a systematic review

  2015cited by this paper
• Microsoft COCO: Common Objects in Context

  2014cited by this paper
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

  2014cited by this paper
• Swimmer detection and pose estimation for continuous stroke-rate determination

  2012cited by this paper
• Understanding the difficulty of training deep feedforward neural networks

  2010cited by this paper
• Learning representations by back-propagating errors

  1986cited by this paper
• An Iterative Image Registration Technique with an Application to Stereo Vision

  1981cited by this paper

• No citing papers are available for this paper.