Continuous Learning of a Multilayered Network Topology in a Video Camera Network
A multilayered camera network architecture with nodes as entry/exit points, cameras, and clusters of cameras at different layers is proposed. Unlike existing methods that used discrete events or appearance information to infer the network topology at a single level, this paper integrates face recogn...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2009-01-01
|
| Series: | EURASIP Journal on Image and Video Processing |
| Online Access: | http://dx.doi.org/10.1155/2009/460689 |