TY  - JOUR 
AU  - Siddiqui, Hafeez Ur Rehman
AU  - Younas, Faizan
AU  - Rustam, Furqan
AU  - Soriano Flores, Emmanuel
AU  - Brito Ballester, Julien
AU  - Torre Díez, Isabel de la
AU  - Dudley, Sandra
AU  - Ashraf, Imran
PY  - 2023
SN  - 1424-8220
UR  - https://uvadoc.uva.es/handle/10324/66573
AB  - Cricket has a massive global following and is ranked as the second most popular sport globally, with an estimated 2.5 billion fans. Batting requires quick decisions based on ball speed, trajectory, fielder positions, etc. Recently, computer vision and...
LA  - eng
PB  - MDPI
KW  - Cricket
KW  - Sports
KW  - Deporte
KW  - Stroke
KW  - Prediction
KW  - Predicción
KW  - Computer vision
KW  - Visión artificial (Robótica)
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Random forest
KW  - Algorithms
KW  - Algoritmos
KW  - Computer science
KW  - Artificial intelligence
TI  - Enhancing cricket performance analysis with human pose estimation and machine learning
DO  - 10.3390/s23156839
ER  -