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2017 | OriginalPaper | Chapter

Multi-template Matching Algorithm Based on Adaptive Fusion

Authors : Bing Li, Juan Su, Dan Chen, Wei Wu

Published in: Image and Graphics

Publisher: Springer International Publishing

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Abstract

A target recognition method based on adaptive fusion of multiple matching results was proposed, in order to take advantage of the gray information and feature information in forward-looking infrared (FLIR) target recognition. On the basis of gray-value matching and feature matching, the primary decision based on the proposed adaptive analytic hierarchy process (AHP) and the secondary decision based on the overlap area and the local searching were utilized, thereby the final matching result was generated. Experimental results show that the proposed method can overcome the false matching caused by feature template matching effectively, and improve the accuracy of target matching, and especially in case of complicated background, scale difference or viewpoint difference, the proposed algorithm has better robustness.

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previous chapter Margin-Aware Binarized Weight Networks for Image Classification
next chapter Combining Object-Based Attention and Attributes for Image Captioning
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Metadata
Title
Multi-template Matching Algorithm Based on Adaptive Fusion
Authors
Bing Li
Juan Su
Dan Chen
Wei Wu
Copyright Year
2017
Book
Image and Graphics

Print ISBN: 978-3-319-71606-0

Electronic ISBN: 978-3-319-71607-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-71607-7_53

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