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Real-Time Tracking Method for Sports Targets in Smart Cities under the Internet+ Background
Author(s) -
Jianping Hu,
Xinjiang Ye
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/7481160
Subject(s) - tracking (education) , computer science , context (archaeology) , process (computing) , the internet , tracking system , real time computing , artificial intelligence , computer vision , kalman filter , world wide web , geography , archaeology , pedagogy , operating system , psychology
Real-time tracking of video sports targets has been widely used in the sports industry. In order to further improve the accuracy of real-time tracking of sports targets, this paper proposes a real-time tracking method for sports targets in smart cities in the context of Internet+. This method collects data and information on the targets in the sports process, fully considers the diversity of the sports process, and performs real-time tracking and detection of the upgraded sports targets. Finally, the experimental research shows that the method in this paper can track the target accurately and quickly in real time during the movement process, and the accuracy and real-time tracking are relatively better than other tracking methods, which can be used as a powerful tool for subsequent moving target tracking.

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