Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TVLSI.2009.2013957 | IEEE Trans. VLSI Syst. |
Keywords | Field | DocType |
hardware platform,bioinspired nature,neuromorphic robust optical flow,complex system,motion estimation,complex bioinspired real-time system,cortical motion pathway,optical flow,robust bioinspired architecture,optical-flow computation,novel customizable architecture,neuromorphic property,reconfigurable hardware,embedded systems,digital signal processing,computer architecture,image analysis,embedded system,hardware,real time systems,optical computing,robustness,computational complexity | Complex system,Computer science,Neuromorphic engineering,Robustness (computer science),Electronic engineering,Real-time operating system,Motion estimation,Optical flow,Optical computing,Reconfigurable computing | Journal |
Volume | Issue | ISSN |
18 | 4 | 1063-8210 |
Citations | PageRank | References |
47 | 1.53 | 17 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillermo Botella | 1 | 294 | 25.97 |
| Antonio García | 2 | 266 | 32.01 |
| Manuel Rodriguez | 3 | 79 | 8.07 |
| Eduardo Ros | 4 | 1100 | 86.00 |
| Uwe Meyer-Baese | 5 | 166 | 9.65 |
| María C. Molina | 6 | 77 | 6.97 |