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- W2362118857 abstract "This paper proposes a two--stage template--based matching method for object tracking under complex background. This method combines features of moment invariants and statistics of gray level histogram in local region by means of analyzing the theory of moment invariant. First of all, this algorithm that utilizes features of translation, rotation and scale of moment invariant as matching computes moment invariant of edges of image and obtains frist N better results as candidate targets in the first matching stage. Secondly, the algorithm based on Chebyshev inequation, which determines confidence level of candidate targets, decides the best target through the gray level histogram characteristics of candidate targets whose confidence level are higher. Those experimental results present that this algorithm addresses the problem of confidence level, which generally exists in traditional matching methods. The performance of this algorithm is superior to those of both directly matching method based on moment invariant and gray--level correlation matching method. Finally, a good matching result is obtained." @default.
- W2362118857 created "2016-06-24" @default.
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- W2362118857 date "2005-01-01" @default.
- W2362118857 modified "2023-09-23" @default.
- W2362118857 title "An Improved Image Matching Algorithm Based on Moment Invariant" @default.
- W2362118857 hasPublicationYear "2005" @default.
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