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Neuromorphic Configurable Architecture for Robust Motion Estimation
Joint Authors
García, Antonio
Ros, Eduardo
Botella, Guillermo
Rodríguez, Manuel
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-02-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
The robustness of the human visual system recovering motion estimation in almost any visual situation is enviable, performing enormous calculation tasks continuously, robustly, efficiently, and effortlessly.
There is obviously a great deal we can learn from our own visual system.
Currently, there are several optical flow algorithms, although none of them deals efficiently with noise, illumination changes, second-order motion, occlusions, and so on.
The main contribution of this work is the efficient implementation of a biologically inspired motion algorithm that borrows nature templates as inspiration in the design of architectures and makes use of a specific model of human visual motion perception: Multichannel Gradient Model (McGM).
This novel customizable architecture of a neuromorphic robust optical flow can be constructed with FPGA or ASIC device using properties of the cortical motion pathway, constituting a useful framework for building future complex bioinspired systems running in real time with high computational complexity.
This work includes the resource usage and performance data, and the comparison with actual systems.
This hardware has many application fields like object recognition, navigation, or tracking in difficult environments due to its bioinspired and robustness properties.
American Psychological Association (APA)
Botella, Guillermo& Rodríguez, Manuel& García, Antonio& Ros, Eduardo. 2009. Neuromorphic Configurable Architecture for Robust Motion Estimation. International Journal of Reconfigurable Computing،Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-471453
Modern Language Association (MLA)
Botella, Guillermo…[et al.]. Neuromorphic Configurable Architecture for Robust Motion Estimation. International Journal of Reconfigurable Computing No. 2008 (2008), pp.1-9.
https://search.emarefa.net/detail/BIM-471453
American Medical Association (AMA)
Botella, Guillermo& Rodríguez, Manuel& García, Antonio& Ros, Eduardo. Neuromorphic Configurable Architecture for Robust Motion Estimation. International Journal of Reconfigurable Computing. 2009. Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-471453
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471453