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Abstract
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Article Information:
Distinguishing Method of Outside Edge in the Tennis Ball-Mean Shift Algorithm
Zuojun Tan
Corresponding Author: Zuojun Tan
Submitted: October 17, 2012
Accepted: December 10, 2012
Published: April 15, 2013 |
Abstract:
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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.
Key words: Mean Shift algorithm, tennis outside edge, target tracking, , , ,
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Cite this Reference:
Zuojun Tan, . Distinguishing Method of Outside Edge in the Tennis Ball-Mean Shift Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (13): 3628-3633.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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