Name
Abstract | ||
|---|---|---|
Emerging computer vision applications of smart camera networks (SCNs) often require that the network cameras operate under limited or unreliable power sources. Therefore in order to extend the SCN lifetime it is important to manage the energy consumption of the cameras which is related to the workload of the vision tasks they perform. Hence, by assigning vision tasks to cameras in an energy-aware ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LES.2016.2526071 | IEEE Embedded Systems Letters |
Keywords | Field | DocType |
Resource management,Smart cameras,Target tracking,Energy states,Computational modeling,Energy consumption | Resource management,Computer science,Workload,Smart camera,Real-time computing,Energy consumption | Journal |
Volume | Issue | ISSN |
8 | 2 | 1943-0663 |
Citations | PageRank | References |
3 | 0.40 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christos Kyrkou | 1 | 102 | 14.05 |
| Christos Laoudias | 2 | 356 | 21.90 |
| Theocharis Theocharides | 3 | 205 | 26.83 |
| Christos G. Panayiotou | 4 | 472 | 58.98 |
| Marios Polycarpou | 5 | 2020 | 206.96 |