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Stabilization and visual analysis of video-recorded sailing sessions
Gijs M W Reichert1, Marcos Pieras2, Ricardo Marroquim1
1Computer Graphics and Visualization, Technical University Delft, Delft, 2628, CD, The Netherlands.
This study introduces a framework for analyzing sailing training videos, automatically detecting maneuvers and stabilizing footage. This improves the efficiency and accuracy of performance analysis for coaches and athletes.
Area of Science:
- Sports Science
- Video Analysis
- Robotics
Background:
- Coaching in sailing often involves video recording, but current methods using handheld devices can lead to poor footage quality and missed critical moments.
- Autonomous recording with fixed cameras presents challenges due to long video durations and potential image instability, hindering effective performance analysis.
Purpose of the Study:
- To develop an automated system for analyzing full-session sailing training videos.
- To facilitate the identification of key sailing maneuvers and provide a visualization framework for locating significant moments.
- To address and mitigate image stability issues in autonomously recorded videos.
Main Methods:
- Development of an automated maneuver detection algorithm for sailing.
- Implementation of a video stabilization technique tailored for sailing footage.
- Creation of a visualization framework to aid in the analysis of long training videos.
Main Results:
- The proposed framework effectively extracts sailing maneuvers with appropriate accuracy.
- Video stabilization significantly benefits the analysis of full-session sailing recordings.
- The visualization tool allows for quick location of interesting moments within the training videos.
Conclusions:
- The developed system enhances the efficiency and effectiveness of sailing performance analysis.
- Automated maneuver detection and video stabilization are crucial for leveraging full-session recordings.
- This framework offers a valuable tool for coaches seeking to improve athlete performance through detailed video analysis.
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