期刊
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
卷 18, 期 4, 页码 616-629出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVLSI.2009.2013957
关键词
Bioinspired systems; digital signal processing; embedded systems; neuromorphic systems; optical flow; reconfigurable architectures
资金
- EU [IST-016276-2, QLK5-CT-1999-50523]
- [DINAM-VISION DPI2007-61683]
- [TEC2007-68074-C02-01/MIC]
Motion estimation from image sequences, called optical flow, has been deeply analyzed by the scientific community. Despite the number of different models and algorithms, none of them covers all problems associated with real-world processing. This paper presents a novel customizable architecture of a neuromorphic robust optical flow (multichannel gradient model) based on reconfigurable hardware with the properties of the cortical motion pathway, thus obtaining a useful framework for building future complex bioinspired real-time systems with high computational complexity. The presented architecture is customizable and adaptable, while emulating several neuromorphic properties, such as the use of several information channels of small bit width, which is the nature of the brain. This paper includes the resource usage and performance data, as well as a comparison with other systems. This hardware platform has many application fields in difficult environments due to its bioinspired nature and robustness properties, and it can be used as starting point in more complex systems.
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