Research Article | OPEN ACCESS
Distinguishing Method of Outside Edge in the Tennis Ball-Mean Shift Algorithm
Zuojun Tan
Department of Physical Education, Henan Institute of Science and Technology, Xinxiang, 453003, China
Research Journal of Applied Sciences, Engineering and Technology 2013 13:3628-3633
Received: October 17, 2012 | Accepted: December 10, 2012 | Published: April 15, 2013
Abstract
Target tracking is widely applied to monitoring, video coding and military industry. It is a challenge for computer vision that how to conduct effective tracking in video sequences. Of that the main section is to choose proper features and search matching algorithm rapidly. As an effective matching algorithm, due to no exhaustive search required, Mean Shift is successfully applied in target tracking requiring high real-time performance. Motion image detect is applied to industry, military and some important fields such as bank, transportations. This study studies sports target tracking base on Mean Shift. Apply it to outside edge distinguishing in tennis, which has practical significances for high-precision judgment in other sports terms.
Keywords:
Mean Shift algorithm, tennis outside edge, target tracking,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
![](http://www.maxwellsci.com/images/RJASET-maxw.jpg) |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
![Submit Manuscript](../images/sub.jpg) |
Information |
|
|
|
Sales & Services |
|
|
|