Ball classification through object detection using deep learning for handball

• Main Authors: Arzielah Ashiqin, Alwi, Ahmad Najmuddin, Ibrahim, Muhammad Nur Aiman, Shapiee, Muhammad Ar Rahim, Ibrahim, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin
• Format: Article
• Language: English
• Published: Penerbit UMP 2020
• Subjects: T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/33637/1/Ball%20classification%20through%20object%20detection%20using%20deep%20learning.pdf; http://umpir.ump.edu.my/id/eprint/33637/; https://doi.org/10.15282/mekatronika.v2i2.6751; https://doi.org/10.15282/mekatronika.v2i2.6751

Dynamic gameplay, fast-paced and fast-changing gameplay, where angle shooting (top and bottom corner) has the best chance of a good goal, are the main aspects of handball. When it comes to the narrow-angle area, the goalkeeper has trouble blocked the goal. Therefore, this research discusses image pr...