Tracking Method for Alpine Skiing Based on Hybrid Deep Learning and Evolutionary Chimp Optimization Algorithm DOI Creative Commons
Xiaohua Wu,

Yongtao Shi,

Mohammad Khishe

et al.

Complexity, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Tracking athletes in high‐speed outdoor sports like alpine skiing causes substantial difficulties because of ever‐changing movements, environmental variability, and the limitations traditional tracking technologies, such as intrusive sensors single‐view camera setups. This study proposes a hybrid approach for activities by combining YOLO‐v8 with an evolutionary version chimp optimization algorithm (CHOA‐EVOL) optimizing hyperparameters. The primary goal this research is to enhance CHOA optimally adjust hyperparameters YOLO‐v8, consequently addressing drawbacks technology. model integrates data from unmanned aerial vehicles (UAVs) terrestrial cameras better understand athletes’ rapid rotating motion. suggested extensively tested validated using advanced algorithms UAV123 dataset recently developed (ASD). results have shown that our proposed can achieve high precision robustness.

Language: Английский

Tracking Method for Alpine Skiing Based on Hybrid Deep Learning and Evolutionary Chimp Optimization Algorithm DOI Creative Commons
Xiaohua Wu,

Yongtao Shi,

Mohammad Khishe

et al.

Complexity, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Tracking athletes in high‐speed outdoor sports like alpine skiing causes substantial difficulties because of ever‐changing movements, environmental variability, and the limitations traditional tracking technologies, such as intrusive sensors single‐view camera setups. This study proposes a hybrid approach for activities by combining YOLO‐v8 with an evolutionary version chimp optimization algorithm (CHOA‐EVOL) optimizing hyperparameters. The primary goal this research is to enhance CHOA optimally adjust hyperparameters YOLO‐v8, consequently addressing drawbacks technology. model integrates data from unmanned aerial vehicles (UAVs) terrestrial cameras better understand athletes’ rapid rotating motion. suggested extensively tested validated using advanced algorithms UAV123 dataset recently developed (ASD). results have shown that our proposed can achieve high precision robustness.

Language: Английский

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