FPGA Based High Accuracy Optical Flow Algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


Motion estimation of a scene is an interesting problem in computer vision since it is the basis for the dynamic analysis of a scene. However this task is computationally intensive for conventional processors. In this work, an FPGA-based hardware architecture for real-time motion estimation is proposed. The algorithm implemented in hardware is a gradient based inverse finite element method for optical flow computation.It manages the motion estimation of the image by calculating the Gradient, Laplacian, and Velocities of each pixel in a parallel design which improves computational speed. The algorithm used in this paper has been benchmarked against many of the well known algorithms and shows superior performance in terms of average angular error and standard deviation. The FPGA design is presented with preliminary results and discussed.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherInstitution of Engineering and Technology
Number of pages6
Publication statusPublished (in print/issue) - Jun 2010
EventISSC 2010, UCC, Cork, June 23–24 -
Duration: 1 Jun 2010 → …


ConferenceISSC 2010, UCC, Cork, June 23–24
Period1/06/10 → …


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