DocumentCode :
1756210
Title :
Visual Measurement of the Racket Trajectory in Spinning Ball Striking for Table Tennis Player
Author :
Guodong Chen ; De Xu ; Zaojun Fang ; Zemin Jiang ; Min Tan
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
Volume :
62
Issue :
11
fYear :
2013
fDate :
Nov. 2013
Firstpage :
2901
Lastpage :
2911
Abstract :
A high-speed monocular vision system is established to track the racket trajectory for estimating the spinning ball initiated by a human. A new fast and robust method is proposed to extract the feature sequence of a racket´s pose during the process of striking. Considering the complexity of the working environment and fast movement of the racket, a novel corner extraction algorithm with good robustness and high efficiency is presented, which mainly consists of two parts, i.e., target segmentation and line detection. Then PnP-based algorithm is adopted to get the rough pose of the racket, which is then optimized by orthogonal iteration algorithm to guarantee the orthogonality of the racket´s orientation matrix. In order to classify the spinning mode of the ball with a higher accuracy, the racket´s movement is represented by the sequence of normal vector of the racket´s surface. Experiments are thoroughly conducted to verify the effectiveness of the proposed method.
Keywords :
computer vision; computerised instrumentation; edge detection; feature extraction; image classification; image segmentation; image sequences; iterative methods; matrix algebra; pose estimation; position measurement; sport; PnP-based algorithm; corner extraction algorithm; feature sequence extraction; line detection; monocular vision system; normal vector sequence; optimization; orthogonal iteration algorithm; racket movement representation; racket orientation matrix orthogonality; racket pose estimation; spinning ball striking; spinning mode classification; table tennis player; target segmentation; visual racket trajectory measurement; Cameras; Feature extraction; Machine vision; Robot kinematics; Spinning; Trajectory; Edge detection; image processing; pose estimation; spinning ball; table tennis robot; visual measurement;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2013.2265471
Filename :
6583334
Link To Document :
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