Name
Abstract | ||
|---|---|---|
A novel method is proposed for generic target tracking by audio measurements from a microphone array. To cope with noisy environments characterized by persistent and high energy interfering sources, a classification map (CM) based on spectral signatures is calculated by means of a machine learning algorithm. Next, the CM is combined with the acoustic map, describing the spatial distribution of sou... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2711497 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Target tracking,Acoustics,Speech,Microphone arrays,Noise measurement,Array signal processing | Computer vision,BitTorrent tracker,Likelihood function,Noise measurement,Particle filter,Sound energy,Microphone array,Artificial intelligence,Vehicle tracking system,Spectral signature,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 5 | 2168-2267 |
Citations | PageRank | References |
1 | 0.36 | 26 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Crocco | 1 | 149 | 14.30 |
| Samuele Martelli | 2 | 31 | 4.77 |
| A Trucco | 3 | 58 | 9.23 |
| Andrea Zunino | 4 | 15 | 5.95 |
| Vittorio Murino | 5 | 3277 | 207.20 |