Name
Abstract | ||
|---|---|---|
This paper addresses the efficient implementation of a robust gradient-based optical flow model in a low-power platform based on a multi-core digital signal processor (DSP). The aim of this work was to carry out a feasibility study on the use of these devices in autonomous systems such as robot navigation, biomedical assistance, or tracking, with not only power restrictions but also real-time requirements. We consider the C6678 DSP from Texas Instruments (Dallas, TX, USA) as the target platform of our implementation. The interest of this research is particularly relevant in optical flow scope because this system can be considered as an alternative solution for mid-range video resolutions when a combination of in-processor parallelism with optimizations such as efficient memory-hierarchy exploitation and multi-processor parallelization are applied. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/1687-6180-2013-99 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Motion estimation, Digital signal processors, Bio-inspired systems | Computer vision,Digital signal processing,Digital signal processor,Computer science,Autonomous system (Internet),Artificial intelligence,Motion estimation,Robot,Optical flow,Multi-core processor | Journal |
Volume | Issue | ISSN |
2013 | 1 | 1687-6180 |
Citations | PageRank | References |
8 | 0.42 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco D. Igual | 1 | 635 | 62.51 |
| Guillermo Botella | 2 | 294 | 25.97 |
| Carlos García | 3 | 8 | 0.42 |
| Manuel Prieto | 4 | 349 | 31.23 |
| Francisco Tirado | 5 | 404 | 32.26 |