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| Content Provider | Springer Nature Link |
|---|---|
| Author | Marsi, Stefa Saponara, Sergio |
| Copyright Year | 2010 |
| Abstract | The paper presents a novel technique for robust motion analysis in real automotive scenarios based on integrated Retinex-like pre-processing algorithm with block matching video motion estimator. Both algorithmic and real-time hardware design issues are discussed. The benefits of the proposed technique are manifold: the entire system is more robust; the estimated motion vectors are more reliable and less dependent on critical ambient conditions like shadows or flashes; the proposed algorithm may allow to perform motion estimation using very few bits and running as a 2- or 1-bit transform, still maintaining good performances. Real-time hardware implementation is achieved by design and synthesis in 65 nm CMOS standard-cells technology of an Application Specific Instruction-set Processor. Design optimizations for both the processing core and the memory organization are presented. With respect to the state of the art the proposed hardware implementation ensures bounded circuit complexity, low power consumption and reprogrammability of the technique. |
| Starting Page | 275 |
| Ending Page | 289 |
| Page Count | 15 |
| File Format | |
| ISSN | 18618200 |
| Journal | Journal of Real-Time Image Processing |
| Volume Number | 5 |
| Issue Number | 4 |
| e-ISSN | 18618219 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2010-02-10 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Robust motion analysis Video processing for automotive applications Motion estimation Retinex filters Application Specific Instruction-set Processor (ASIP) Hardware for real-time processing Signal, Image and Speech Processing Pattern Recognition Computer Graphics Multimedia Information Systems Image Processing and Computer Vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems |
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