Name
Abstract | ||
|---|---|---|
The paper addresses road traffic monitoring using a compact microphone array. More precisely, estimation of both speed and wheelbase distance of detected vehicles is performed. The detection algorithm is based on the comparison between theoretical and measured correlation time series using the two dimensional Bravais-Pearson correlation coefficient. The tracking step is conducted with a particle filter specifically designed to model the position-variant bimodal sound source nature of the vehicles, i.e. taking into account the sound emitted by both vehicle axles. Sensitivity and performance studies using simulations and real measurements show that the bimodal approach reduces the tracking failure risk in harsh conditions when vehicles are tracked, at the same time, in opposite directions. |
Year | Venue | Keywords |
|---|---|---|
2011 | Barcelona | acoustic signal processing,correlation theory,microphone arrays,risk analysis,road traffic,target tracking,time series,traffic engineering computing,2d bravais-pearson correlation coefficient,compact microphone array,harsh condition,measured correlation time series,position-variant bimodal sound source model,road traffic monitoring,vehicle axles,vehicle tracking failure risk,wheelbase,axles,estimation,particle filtering,correlation,speed,tracking |
Field | DocType | ISSN |
Correlation coefficient,Computer science,Particle filter,Road traffic,Source model,Wheelbase,Microphone array,Acoustics,Axle,Vehicle tracking system | Conference | 2076-1465 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Marmaroli | 1 | 1 | 0.36 |
| Jean-Marc Odobez | 2 | 140 | 19.50 |
| Xavier Falourd | 3 | 1 | 0.36 |
| Herve Lissek | 4 | 2 | 2.16 |