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Target tracking and localization of binocular mobile robot using camshift and SIFT
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ACM/SIGEVO Summit on Genetic and Evolutionary Computation archive
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation table of contents
Shanghai, China
SESSION: Full papers table of contents
Pages 483-488  
Year of Publication: 2009
ISBN:978-1-60558-326-6
Authors
Xuena Qiu  East China University of Science and Technology, Shanghai, China
Qiang Lu  Hangzhou Dianzi University, Hangzhou, China
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A real time dynamic target recognition and tracking method is presented for mobile robot in this paper. Firstly, the inter-frame difference method is applied to detect the moving target. And the proposed method computes the color histogram and extracts SIFT features in the target region. Then from the following frame, it extracts SIFT features, matches with SIFT features extracted from target, and calculates the center location of the matched features. Finally the Camshift algorithm, starting from the center location, is used to track the target. Experiments demonstrate that the proposed method can effectively recognize and track the moving target, and its performance is better than the classic Camshift algorithm


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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