6533b856fe1ef96bd12b272b

RESEARCH PRODUCT

Change-driven Image Architecture on FPGA with adaptive threshold for Optical-Flow Computation

Rocio Gomez-fabelaJulio C. SosaFernando PardoJose Antonio Boluda

subject

Computer sciencebusiness.industryBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingImage segmentationMotion estimationDigital image processingComputer visionArtificial intelligencebusinessImage gradientComputer hardwareFeature detection (computer vision)

description

Optical flow computation has been extensively used for object motion estimation in image sequences. However, the results obtained by most optical flow techniques are as accurate as computationally intensive due to the large amount of data involved. A new strategy for image sequence processing has been developed; pixels of the image sequence that significantly change fire the execution of the operations related to the image processing algorithm. The data reduction achieved with this strategy allows a significant optical flow computation speed-up. Furthermore, FPGAs allow the implementation of a custom data-flow architecture specially suited for this strategy. The foundations of the change-driven image processing are presented, as well as the hardware custom implementation in an EP20K1000C FPGA showing the achieved performance.

yearjournalcountryeditionlanguage
2006-09-012006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006)
https://doi.org/10.1109/reconf.2006.307775