Name
Abstract | ||
|---|---|---|
As to reduce processing load for video surveillance embedded systems, three low-level motion detection algorithms to be implemented on an analog CMOS image sensor are presented. Allowing on-chip segmentation of moving targets, these algorithms are both robust and compliant to various environments while being power efficient. They feature different trade-offs between detection performance and number of a priori choices. Detailed processing steps are presented for each of these algorithms and a comparative study is proposed with respect to some reference algorithms. Depending on the application, the best algorithm choice is then discussed. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1155/2011/698914 | EURASIP J. Image and Video Processing |
Keywords | Field | DocType |
video surveillance,processing load,comparative study,low-level motion detection algorithm,detailed processing step,analog cmos image sensor,different trade-offs,novell analog-domain algorithm,algorithm choice,on-chip segmentation,embedded system,detection performance | Computer vision,Feature detection (computer vision),Image sensor,Motion detection,Computer science,Segmentation,A priori and a posteriori,Algorithm,Image processing,Artificial intelligence,Biometrics,Digital image processing | Journal |
Volume | Issue | ISSN |
2011, | 1 | 1687-5281 |
Citations | PageRank | References |
2 | 0.36 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arnaud Verdant | 1 | 3 | 1.77 |
| Patrick Villard | 2 | 7 | 1.89 |
| Antoine Dupret | 3 | 45 | 16.43 |
| Hervé Mathias | 4 | 12 | 5.30 |