Embedded System Based Target Tracking

Qi Yuan Sun; Liu Sheng Li; Zuo Liang Cao

doi:10.4028/www.scientific.net/AMR.468-471.1605

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Embedded System Based Target Tracking

Embedded System Based Target Tracking

Abstract:

A mobile robot based on embedded system can meet the requirement of low energy cost and miniaturization. An embedded system for moving target tracking is designed in this paper. By combining with wavelet transmission, an improved algorithm of particle filter with wavelet particles is proposed for tracking maneuver target, and then a scheme of optimization is also proposed to enhance the real-time property of the system. Experimental results show that the system can be suitable for real-time target tracking applications.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

1605-1608

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.1605

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Online since:

February 2012

Authors:

Qi Yuan Sun, Liu Sheng Li, Zuo Liang Cao

Keywords:

Embedded System, Particle Filter (PF), Target Tracking, Visual Navigation, Wavelet Transform (WT)

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References

[1] H.Z. Fu, Z.L. Cao and J. Roning: Beacon Tracking with an Embedded Omni-vision System. IEEE Transaction on Natural Computation, Vol.5 (2009), pp.274-278.

DOI: 10.1109/icnc.2009.296

Google Scholar

[2] N.J. Gordon, D.J. Salmond and A.F.M. Smith: Novel approach to nonlinear/non-Gaussian Bayesian state estimation. Radar and Signal Processing, vol. 140, no. 2 (1993), p.107–113.

DOI: 10.1049/ip-f-2.1993.0015

Google Scholar

[3] J.H. Kotecha and P.M. Djuric: Gaussian Particle Filtering. IEEE Trans. on Signal Process, Vol. 51(10) (2003), pp.2592-2601.

DOI: 10.1109/tsp.2003.816758

Google Scholar

[4] S. Arivazhagan, W.S.L. Jebarani and G. Kumaran: Performance Comparison of Discrete Wavelet Transform and Dual Tree Discrete Wavelet Transform for Automatic Airborne Target Detection. Proceedings of International Conference on Computational Intelligence and Multimedia Applications, Vol. 3(2007), pp.495-500.

DOI: 10.1109/iccima.2007.444

Google Scholar

[5] J.Y. Wang, X.L. Chen and W. Gao: Online Selecting Discriminative Tracking Features using Particle Filter. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2(2005), pp.1037-1042.

DOI: 10.1109/cvpr.2005.262

Google Scholar