Abstract
The uniqueness of sports video brings a great challenge to target detection and tracking technology. The tracking of moving objects in sports videos is characterized by complexity, which is manifested in complex scenes, complex moving directions and so on. In the process of tracking moving objects, there will be various disturbances, which will affect the tracking accuracy. To improve the tracking accuracy, it is necessary to choose the appropriate target detection and tracking algorithm. In order to improve the tracking accuracy of moving targets, an intelligent tracking method of moving targets in sports video based on data mining technology is proposed, and the improved background update difference method is used to detect moving targets. This method can track the moving target in sports video accurately and quickly, and the real-time performance of moving target tracking is better than other tracking methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
