Open AccessResearch on Detection and Tracking Technology of Moving Objects in Sports Video Based on Data Mining
Author(s) -
Wu Fang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012124
Subject(s) - tracking (education) , computer science , computer vision , artificial intelligence , video tracking , tracking system , process (computing) , video processing , kalman filter , psychology , pedagogy , operating system
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.