Name
Abstract | ||
|---|---|---|
A challenge to scaling a video surveillance system is the amount of human supervision required for control of the cameras. In this paper we consider the problem of coordinating a network of video cameras for the purpose of identifying people. We pose the problem as a machine scheduling problem where each person is a job that should be scheduled before a deadline. To ensure scalability, we propose a distributed algorithm that only depends on neighbor to neighbor communication. We compare the performance of this algorithm to a localized scheduling approach. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CDC.2005.1582368 | conference on decision and control |
Keywords | DocType | ISSN |
control systems,scalability,image resolution,distributed algorithm,physics | Conference | 0743-1546 |
ISBN | Citations | PageRank |
0-7803-9567-0 | 6 | 0.50 |
References | Authors | |
11 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Costello, C.J. | 1 | 6 | 0.84 |
| I-Jeng Wang | 2 | 277 | 31.46 |