A prediction method for the service trajectory of badminton moving video based on fuzzy clustering algorithm Online publication date: Thu, 29-Jul-2021
by Lin Zhu
International Journal of Innovative Computing and Applications (IJICA), Vol. 12, No. 4, 2021
Abstract: Due to the weak regularity of target's motion attitude in badminton video, the existing methods cannot segment the image accurately, which leads to the low accuracy of predicting the service track of badminton video. A method of predicting the service track of badminton based on fuzzy clustering algorithm is proposed. The fuzzy clustering algorithm is used to segment the video image of badminton movement, obtain the contour of the serving arm in the video image, calculate the body state ratio and compactness of the serving arm of the moving object, construct the overall matching similarity function of the moving object, and realise the tracking and trajectory prediction of the moving object in the video image. The experimental results show that the proposed method has good noise iteration performance, clearer target of the processed motion video image, and can accurately predict the serve trajectory in the badminton motion video.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook