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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES)
Roberto Rodríguez
National Polytechnic Institute (IPN)
Economics, Econometrics & Finance

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Real-time Optical-flow Computation for Motion Estimation under Varying Illumination Conditions Julio C. Sosa; Roberto Rodríguez; Víctor H. García Ortega; Rubén Hernández
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.931 KB) | DOI: 10.11591/ijres.v1.i1.pp25-36

Abstract

The optical flow approach has emerged as a major technique for estimating object motion in image sequences. However, the obtained results by most optical flow techniques are poor because they are strongly affected by large illumination changes and by motion discontinuities. On the other hand, there have been two thrusts in the development of optical flow algorithms. One has emphasized higher accuracy; the other faster implementation. These two thrusts have been independently pursed, without addressing the accuracy vs. efficiency trade-offs. The optical flow computation requires high computing resources and is highly affected by changes in the illumination conditions in most of the existing techniques. In this paper, a new strategy for image sequence processing is proposed. The data reduction achieved with this strategy allows a faster optical flow computation. In addition, the proposed architecture is a hardware custom implementation  in EP1S60F1020 FPGA showing the achieved performance.
Co-Authors Julio C. Sosa Rubén Hernández Víctor H. García Ortega