... | ... | @@ -58,6 +58,70 @@ Image-Structure Computation. IEEE Trans. Circuits Syst. Video Techn. |
|
|
|
|
|
-----
|
|
|
|
|
|
# Attention
|
|
|
|
|
|
This project presents a hardware architecture for the computation of
|
|
|
bottom-up inherent visual attention for FPGA. The bottom-up inherent
|
|
|
attention is generated including local energy, local orientation maps,
|
|
|
and red-green and blue-yellow color opponencies.
|
|
|
|
|
|
Visual information enters the visual cortex and is processed along two
|
|
|
parallel pathways: the ‘where’ pathway that involves spatial
|
|
|
localization (dorsal stream), and the ‘what’ pathway for object
|
|
|
recognition. Attention takes place in the first one and focuses on the
|
|
|
most relevant areas in the scene. Particularly, it allows searching by
|
|
|
processing the large amount of visual information that we perceive.
|
|
|
Perception mechanisms do not merely consist in information acquisition
|
|
|
but in active selection mechanisms of the most relevant information to
|
|
|
deal with real-world dynamic environments.
|
|
|
|
|
|
The implemented hardware model and architecture are based on \[1\]. More
|
|
|
details about the architecture can be found at
|
|
|
\[2\].
|
|
|
|
|
|
![](/project/img-proc-core-lib/uploads/16bfc6659c6cf6be1aeaea989c9119d8/whole_system.png)
|
|
|
|
|
|
-----
|
|
|
|
|
|
## Contacts
|
|
|
|
|
|
- [Javier Diaz](mailto:jdiaz@ugr.es) [Seven
|
|
|
Solutions](https://www.ohwr.org/companies/seven-solutions)
|
|
|
- [Matteo Tomasi](mailto:matteo_tomasi@meei.harvard.edu) [Harvard
|
|
|
University](http://www.masseyeandear.org/)
|
|
|
- [Francisco Barranco](mailto:fbarranco@ugr.es) [University of
|
|
|
Maryland](http://www.umd.edu) and [University of
|
|
|
Granada](http://www.ugr.es)
|
|
|
|
|
|
-----
|
|
|
|
|
|
## Project Status
|
|
|
|
|
|
<table>
|
|
|
<tbody>
|
|
|
<tr class="odd">
|
|
|
<td><b> Date </b></td>
|
|
|
<td><b> Release </b></td>
|
|
|
</tr>
|
|
|
<tr class="even">
|
|
|
<td>??/02/2014</td>
|
|
|
<td>v1.0 Release</td>
|
|
|
</tr>
|
|
|
</tbody>
|
|
|
</table>
|
|
|
|
|
|
-----
|
|
|
|
|
|
## References
|
|
|
|
|
|
\[1\] L. Itti and C. Koch, Computational modelling of visual attention,
|
|
|
Nature Review Neuroscience, 2(3), pp. 194 – 203, 2001.
|
|
|
\[2\] F. Barranco, J. Diaz, B. Prieto, and E. Ros, Bottom-up visual
|
|
|
attention model based on fpga, in Electronics, Circuits and Systems
|
|
|
(ICECS), pp. 328 – 331, 2012.
|
|
|
|
|
|
-----
|
|
|
|
|
|
|
|
|
|
|
|
### Files
|
... | ... | |