Name
Abstract | ||
|---|---|---|
This paper presents a localization and tracking sys- tem integrating multiple sensors. Object localiza- tion results from local sensor systems are fused us- ing a decentralized Kalman filter. An audiovisual speaker tracking system is evaluated, which is based upon a video based face tracker and a microphone array. A quantitative analysis shows that the pre- sented bimodal tracking system can deliver more robust and reliable results than either of the two sin- gle modalities. |
Year | Venue | Keywords |
|---|---|---|
2001 | VMV | multi-sensor object localization system,tracking system,kalman filter,quantitative analysis |
Field | DocType | ISBN |
Computer vision,Computer science,Tracking system,Kalman filter,Microphone array,Speaker tracking,Localization system,Artificial intelligence,Multiple sensors | Conference | 3-89838-028-9 |
Citations | PageRank | References |
2 | 0.43 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sascha Spors | 1 | 108 | 19.70 |
| Rudolf Rabenstein | 2 | 120 | 32.77 |
| Norbert Strobel | 3 | 3 | 0.88 |