The Realization of Real-Time Motion Tracking Algorithm Based on FPGA

Dong Ming Liu; Chao Liu; Hai Wei Mu

doi:10.4028/www.scientific.net/AMR.926-930.3302

Paper Titles

The Application of Nonlinear Modeling in the Fault Diagnosis of Fan
p.3286

The Impact of Complex Network Models to EDAs
p.3290

The Limits of Estimation of Distribution Algorithms
p.3294

The Parameters Optimization of Bionic Tongue Block Based on the Discrete Element Method
p.3298

The Realization of Real-Time Motion Tracking Algorithm Based on FPGA
p.3302

The Research and Implementation of Professional Skill Appraisal System: Based on the J2EE Architecture
p.3306

The Stability Analysis for Multivariable System Based on Lyapunov’s Function and its Application in Oil-Water Separation
p.3310

The Stability and Hopf Bifurcation for a Predator-Prey Model with Delays
p.3314

The Synchronization of Two Different Fractional-Order Systems
p.3318

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930The Realization of Real-Time Motion Tracking...

The Realization of Real-Time Motion Tracking Algorithm Based on FPGA

Abstract:

With the FPGA technology progressing, the speed, the internal multiplier and the internal RAM of the FPGA are increasing. Its internal resource can be allocated flexibility, and there is no limit on the pipeline stages, so it is more suitable for real-time video processing comparing with the previous DSP and PC. By this reason, the DE2 development system is selected as the real-time video processing platform, which has a core of the Cyclone II series FPGA, in which the calculation of LK-algorithm-based real-time optical flow is implemented. Finally, by the reasonable overall arrangement for the pipeline and the sub-pipeline, the system achieves the real-time video motion tracking for the 640×480 resolution 30 frames/s images.

You might also be interested in these eBooks

Progress in Applied Sciences, Engineering and Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3302-3305

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3302

Citation:

Cite this paper

Online since:

May 2014

Authors:

Dong Ming Liu, Chao Liu*, Hai Wei Mu

Keywords:

FPGA, LK Algorithm, Motion Tracking

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] P. Cobos, F. Monasterio-Huelin, FPGA Implementation of the Horn & Schunk Optical Flow Algorithm for Motion Detection in Real Time Images, in: Proc. of XIII Design of Circuits and Integrated Systems Conference, DCIS, 1998: 616-621.

Google Scholar

[2] Z.Y. Wei, D.J. Lee, A fast and accurate tensor-based optical flow algorithm implemented in FPGA. WACV'07, Austin, IEEE workshop on Feb. 21-22, (2007).

DOI: 10.1109/wacv.2007.5

Google Scholar

[3] S. Baker, I. Matthews, Lucas-Kanade 20 Years On: A Unifying Framework, IJCV, 56 (2004) 221-255.

DOI: 10.1023/b:visi.0000011205.11775.fd

Google Scholar

[4] L. SukHwan, Optical flow estimation using temporally oversampled video, Image Processing, IEEE Transactions on, 14 (2005) 1074-1087.

DOI: 10.1109/tip.2005.851688

Google Scholar

[5] S.C. Wong, Signal Processing and Its Applications. 2 (2005)792-794.

Google Scholar