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

被引:0
|
作者
Sosa, Julio C. [1 ]
Gomez-Fabela, Rocio [1 ]
Boluda, Jose A. [1 ]
Pardo, Fernando [1 ]
机构
[1] Univ Valencia, Dept Informat, Escuela Tecn Super Ingn, Av Vicente Andres Estelles S-N, E-46100 Valencia, Spain
关键词
D O I
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中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:237 / +
页数:2
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