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Proceedings Paper

An effective matching algorithm in real-time video tracking
Author(s): Zhaohui Xu; Yan Tian; Jianzhong Cao; Junxia Wei
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Paper Abstract

In order to save the computational time of and apply in engineering practice well, a lot of correlation matching algorithms have been proposed at present. A practical effective method based on small diamond search template is presented in this paper. By comparing with the classical algorithm based on the large diamond, it is very pleased with the results. The algorithm presented not only reduced the computational complexity and improved the computational speed, but also ensured the search precision of correlation matching. It is fully able to satisfy the requirement of real-time video tracking, and be pleased greatly with the accuracy and reliability of the real-time video tracking.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954U (30 October 2009); doi: 10.1117/12.832999
Show Author Affiliations
Zhaohui Xu, Xi'an Institute of Optics and Precision Mechanics (China)
Yan Tian, Xi'an Institute of Optics and Precision Mechanics (China)
Jianzhong Cao, Xi'an Institute of Optics and Precision Mechanics (China)
Junxia Wei, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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