Video Based Basketball Shooting Prediction and Pose Suggestion System
學年 111
學期 2
出版（發表）日期 2023-02-16
作品名稱 Video Based Basketball Shooting Prediction and Pose Suggestion System
作品名稱（其他語言）
著者 Chien-Chang Chen; Chen Chang; Cheng-Shian Lin; Chien-Hua Chen; I. Cheng Chen
單位
出版者
著錄名稱、卷期、頁數 Multimedia Tools and Applications 82, p.27551-27570
摘要 Video based motion analysis, which aims to acquire the whole posture data by simple camera and without placing sensors on the body parts, has become the major analysis method in the sport domain. However, most video based motion analysis approaches either work only for some specific domain action recognition, or suffer from low prediction rates for practical applications in the sport domain. This paper presents an effective system to predict basketball shooting and to suggest corrected postures, as based on video based motion analysis with the OpenPose system. Given a basketball shooting video sequences, the proposed system first detects the human joint points acquired from the OpenPose system, and then, the video frames of the shooting period are detected by two important features of the shooting process. Basketball shooting is predicted using the adopted trajectory curves matching method and the K-nearest neighbor classification method. Finally, the wrong shooting posture is corrected and suggested based on the pix2pix conditional GAN (cGAN) model. Experimental results show that our approach can effectively estimate shooting results with high accuracy.
關鍵字 OpenPose;Bézier curve;KNN;The pix2pix conditional GAN (cGAN) model
語言 en
ISSN 1573-7721
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Cheng-Shian Lin
審稿制度 是
國別 DEU
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/125163 )

SDGS 優質教育,尊嚴就業與經濟發展,產業創新與基礎設施