Paper
30 October 2009 An effective matching algorithm in real-time video tracking
Zhaohui Xu, Yan Tian, Jianzhong Cao, Junxia Wei
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74954U (2009) https://doi.org/10.1117/12.832999
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaohui Xu, Yan Tian, Jianzhong Cao, and Junxia Wei "An effective matching algorithm in real-time video tracking", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954U (30 October 2009); https://doi.org/10.1117/12.832999
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KEYWORDS
Detection and tracking algorithms

Diamond

Video

Reliability

Parallel processing

Automatic target recognition

Image analysis

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