Moving Object Tracking System Based on Particle Filter on FPGA Design and Implementation

Jun Song; Han Wen Wu

doi:10.4028/www.scientific.net/AMM.203.31

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 203Moving Object Tracking System Based on Particle...

Moving Object Tracking System Based on Particle Filter on FPGA Design and Implementation

Abstract:

In view of the large amount of calculation and long operation cycle in the particle filter tracking algorithm. This paper puts forward a particle filter designed in the FPGA platform, using fast calculation speed and parallel processing mechanism of the FPGA to improve the processing speed and performance of the system. The experimental results show that the system has a good real-time and tracking accuracy. Its portability is strong, and having a broad prospect of application.

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Periodical:

Applied Mechanics and Materials (Volume 203)

Pages:

31-35

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.203.31

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Online since:

October 2012

Authors:

Jun Song, Han Wen Wu

Keywords:

Field-Programmable Gate Array (FPGA), Object Tracking, Particle Filter (PF)

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References

[1] B.Sugandi and H.Kim: "Tracking of multiple moving objects under outdoor environment using color-based particle filter", Proc. Int. 2010 3rd IEEE International Conference on Computer Science and Information Technology, 2010, v 1, pp.103-107.

DOI: 10.1109/iccsit.2010.5563884

Google Scholar

[2] Ristic B., Arulampalam S., Gordon N., Beyond the Kalman Filter:Particle Filters for Tracking Applications, Artech House, 2004.

Google Scholar

[3] Doucet A., de Freita J.F.G. s, Gordon N.J., Sequential Monte Carlo Methods in Practice, Springer, New York, 2001.

Google Scholar

[4] Isard M., Blake A., Visual tracking by stochastic propagation of conditional density, In Proceedings of the European Conference on Computer Vision (ECCV), pp.343-356, 1996.

DOI: 10.1007/bfb0015549

Google Scholar

[5] Stratix-III Device Family Data Sheet, Stratix-III Device Handbook.pdf. http://www.altera.com.

Google Scholar

[6] DE3_User manual_v1.2.3 Data sheet. http://www.terasic.com.

Google Scholar

[7] Junxil, Sun，Zhongsen Sun and Jianzhong Song :"An Object-tracking System Using Particle Filter", VIDEO ENGINEERING, [J], 2007,31(3).

Google Scholar