Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation

Julio C. Sosa; Rocío Gómez-Fabela; José A. Boluda; Fernando Pardo

doi:10.1109/RECONF.2006.307775

Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation

Julio C. Sosa, Rocío Gómez-Fabela, José A. Boluda, Fernando Pardo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006
Pages	237-244
Number of pages	8
DOIs	https://doi.org/10.1109/RECONF.2006.307775
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006 - San Luis Potosi, Mexico Duration: 20 Sep 2006 → 22 Sep 2006

Publication series

Name	Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006

Conference

Conference	2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006
Country/Territory	Mexico
City	San Luis Potosi
Period	20/09/06 → 22/09/06

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10.1109/RECONF.2006.307775

Cite this

Sosa, J. C., Gómez-Fabela, R., Boluda, J. A., & Pardo, F. (2006). Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation. In Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006 (pp. 237-244). Article 4099995 (Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006). https://doi.org/10.1109/RECONF.2006.307775

Sosa, Julio C. ; Gómez-Fabela, Rocío ; Boluda, José A. et al. / Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation. Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006. 2006. pp. 237-244 (Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006).

@inproceedings{b682dda0f1954ea4992fed1e48a90629,

title = "Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation",

abstract = "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.",

author = "Sosa, {Julio C.} and Roc{\'i}o G{\'o}mez-Fabela and Boluda, {Jos{\'e} A.} and Fernando Pardo",

year = "2006",

doi = "10.1109/RECONF.2006.307775",

language = "Ingl{\'e}s",

isbn = "1424406900",

series = "Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006",

pages = "237--244",

booktitle = "Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006",

note = "2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006 ; Conference date: 20-09-2006 Through 22-09-2006",

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Sosa, JC, Gómez-Fabela, R, Boluda, JA & Pardo, F 2006, Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation. in Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006., 4099995, Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006, pp. 237-244, 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006, San Luis Potosi, Mexico, 20/09/06. https://doi.org/10.1109/RECONF.2006.307775

Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation. / Sosa, Julio C.; Gómez-Fabela, Rocío; Boluda, José A. et al.
Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006. 2006. p. 237-244 4099995 (Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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Sosa JC, Gómez-Fabela R, Boluda JA, Pardo F. Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation. In Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006. 2006. p. 237-244. 4099995. (Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's, ReConFig 2006). doi: 10.1109/RECONF.2006.307775

Change-driven image architecture on FPGA with adaptive threshold for optical-flow computation

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