GPU Parallel Computing Algorithm in Target Tracking of Space

Tuo Ding

doi:10.4028/www.scientific.net/AMM.539.122

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 539GPU Parallel Computing Algorithm in Target...

GPU Parallel Computing Algorithm in Target Tracking of Space

Abstract:

Article careful analysis of existing processes and target tracking algorithm and part of the video image processing algorithm that consume large amount of data based CPU. Each algorithm for image pre-processing module and tracking module algorithm designed operational processes. Several studies algorithm for image pre-processing module, and each was carried out in parallel GPU accelerated processing, and were tested in a unified CUDA computing device. Experimental data show that some parts of the algorithm can be improved after the adoption of CUDA target tracking algorithm optimized overall efficiency, has some practical significance.

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Periodical:

Applied Mechanics and Materials (Volume 539)

Pages:

122-125

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.539.122

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Online since:

July 2014

Authors:

Tuo Ding*

Keywords:

CUDA, GPU, Moving Target, Tracking Algorithm

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* - Corresponding Author

References

[1] David B. Kirk, Wen-mei W. Hwu. Programming Massively Parallel Processors combat [M]. Tsinghua University Press . (2010).

Google Scholar

[2] Wu EH. State of the art and future challenge on general Purpose computation by graphies Processing unit[J]. Journal of Software, 2004, l 5(10): 1493-1504.

Google Scholar

[3] LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004 60(2); 91-110.

DOI: 10.1023/b:visi.0000029664.99615.94

Google Scholar

[4] Stdipta N. Sinha, Jan-Michael Frahm, Marc Pollefeys, Yakup Gene. GPU-Based Video Feature Tracking And Matching. Department of Computer Science, 2006(5).

Google Scholar