Name
Abstract | ||
|---|---|---|
We outline our latest methods and algorithmic solutions for detection of concurrent motions and registering cameras in real-life surveillance systems. We show that cameras can be registered in several rather unfavorable conditions, based on: Unpredictable motion without structured background or defined object shapes or Walking persons of undefined silhouettes and short detectable walking distances or Shadows of undefined structures in front of flickering background. These methods are tested in real-life sequences and we show that flexible 3D camera registration is possible even in bad lighting conditions and in the lack of any known structures or motions. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/AVSS.2005.1577309 | AVSS 2005: ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS |
Keywords | Field | DocType |
image registration | Flicker,Computer vision,Computer graphics (images),Computer science,3d camera,Artificial intelligence,Image registration | Conference |
Citations | PageRank | References |
7 | 0.50 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Csaba Benedek | 1 | 193 | 21.31 |
| Laszlo Havasi | 2 | 66 | 6.80 |
| Sziranyi, T. | 3 | 395 | 44.76 |
| Zoltán Szlávik | 4 | 116 | 21.40 |