Pose Estimation for Evaluating Standing Long Jumps via Dynamic Bayesian Networks
學年 96
學期 2
發表日期 2008-06-17
作品名稱 Pose Estimation for Evaluating Standing Long Jumps via Dynamic Bayesian Networks
作品名稱（其他語言）
著者 Hsu, Hui-huang; Yen, Yao-bao; Chen, Chu-song; Ho, Chun-ta
作品所屬單位 淡江大學資訊工程學系
出版者 N.Y.: IEEE (Institute of Electrical and Electronic Engineers)
會議名稱 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops (ICDCSW '08)
會議地點 Beijing, China
摘要 A system is developed for analyzing poses in a standing long jump automatically. In the system, silhouette of the jumper is segmented from the background first. A thinning algorithm is then used to find a rough skeleton from the silhouette. Some image processing techniques are applied to make the resulted skeleton smoother and simpler. Key points are extracted from the skeleton. Finally, the dynamic Bayesian network (DBN) is used to determine the corresponding pose from the key points. The experimental result shows that pose estimation accuracy is quite good. According to the standing long jump standards, incorrect movements at different stages of the jump can thus be identified.
關鍵字 Dynamic Bayesian networks; Motion analysis; Pose estimation; Standing long jumps; Thinning
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20080617~20080620
通訊作者
國別 CHN
公開徵稿
出版型式
出處 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops (ICDCSW '08), pp.36-41
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