Analyzing swimming performance using drone captured aerial videos

• Main Authors: TRAN, Ngoc Doan Thu, CHOO, Kenny Tsu Wei, FOONG, Shaohui, BHARDWAJ, Hitesh, WIN, Shane Kyi Hla, ANG, Wei Jun, GOH, Kenneth T., BALAN, Rajesh Krishna
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Swimming movement monitoring; UAV; Pose detection; Computer vision; Tracking systems; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9848; https://ink.library.smu.edu.sg/context/sis_research/article/10848/viewcontent/3661810.3663464.pdf
• Institution: Singapore Management University

Monitoring swimmer performance is crucial for improving training and enhancing athletic techniques. Traditional methods for tracking swimmers, such as above-water and underwater cameras, face limitations due to the need for multiple cameras and obstructions from water splashes. This paper presents a...