Open AccessResearch on Key Technologies of Basketball Object Segmentation and Tracking Based on Image Analysis
Author(s) -
Liangying Ma
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 - 10.1088/1742-6596/1982/1/012004
Subject(s) - basketball , computer science , computer vision , key (lock) , artificial intelligence , block (permutation group theory) , tracking (education) , video tracking , matching (statistics) , object (grammar) , trajectory , computer security , mathematics , psychology , pedagogy , statistics , physics , geometry , archaeology , astronomy , history
Since the 21st century, with the continuous development of society, people’s living standards have been improved, and their physical qualities have been constantly improved. These factors have promoted the development rhythm of basketball, and at the same time put forward higher requirements for players’ abilities. In order to improve players’ basketball accomplishment quickly, many high-tech equipments are also used in basketball, which provides a lot of technical support for coaches to make training programs for players. With the rapid development of image processing technology, moving target detection technology in video has been more and more widely used. Tracking the flight trajectory in basketball shooting and analyzing the trajectory with image processing technology can improve the accuracy of basketball shooting. In this paper, a basketball tracking method based on image analysis is proposed, and an adaptive object model is further established. Then, the object model is used to improve the block matching method to track basketball. Finally, the tracking deviation is corrected, and the basketball tracking effectiveness detection mechanism is established.