Research on Moving Target Detection and Tracking Technology in Sports Video Based on SIFT Algorithm. (11th February 2022)
- Record Type:
- Journal Article
- Title:
- Research on Moving Target Detection and Tracking Technology in Sports Video Based on SIFT Algorithm. (11th February 2022)
- Main Title:
- Research on Moving Target Detection and Tracking Technology in Sports Video Based on SIFT Algorithm
- Authors:
- Mei, Zhu
Wang, Yue - Other Names:
- Li Qiangyi Academic Editor.
- Abstract:
- Abstract : Sports video moving target detection and tracking play an important role in enhancing the popularity of sports and the promotion of sports events. This paper combines the SIFT algorithm to carry out the research of sports video moving target detection and tracking technology, to identify sports features, and to improve the sports feature detection algorithm. Moreover, this paper divides the point cloud data into multiple cube grids under the coordinate system where it is located, and then finds the center of gravity of the data points in each grid, and replaces the coordinates of all points in the grid with the coordinates of the center of gravity. In addition, this paper combines data analysis to verify the algorithm and build a sports video moving target detection system. The experimental research results verify that the sports video target detection and tracking technology based on the SIFT algorithm proposed in this paper has good results.
- Is Part Of:
- Advances in multimedia. Volume 2022(2022)
- Journal:
- Advances in multimedia
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02-11
- Subjects:
- Multimedia systems -- Periodicals
Computer networks -- Periodicals
Multimédia
Réseaux d'ordinateurs
Computer networks
Multimedia systems
Periodicals
006.7 - Journal URLs:
- https://www.hindawi.com/journals/am/ ↗
http://bibpurl.oclc.org/web/22854 ↗ - DOI:
- 10.1155/2022/2743696 ↗
- Languages:
- English
- ISSNs:
- 1687-5680
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21181.xml