Name
Abstract | ||
|---|---|---|
A key issue for any project that aims to study endangered animals is the counting process. In this work, we propose an algorithm for automatic counting of singing birds in their habitat by using wireless sensors fitted with microphone. Sensors are used to record audio samples of bird songs and samples are analyzed to extract fingerprints that permit to recognize bird species. This paper details the counting algorithm that uses graph theory and audio inputs comparison. Finally, we demonstrate our scheme efficiency through experimentations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/WoWMoM.2011.5986215 | World of Wireless, Mobile and Multimedia Networks |
Keywords | Field | DocType |
scheme efficiency,paper detail,bird species,audio sample,wireless sensor network,automatic counting,acoustic scheme,audio inputs comparison,graph theory,wireless sensor,key issue,bird song,algorithms,endangered animals,simulation,sensor networks,wireless sensor networks,sensor network,noise,sensors,audio recording | Graph theory,Telecommunications,Wireless,Counting process,Computer science,Computer network,Real-time computing,Sound recording and reproduction,Wireless sensor network,Microphone | Conference |
ISBN | Citations | PageRank |
978-1-4577-0350-8 | 4 | 0.45 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stattner, E. | 1 | 4 | 0.45 |
| Hunel, P. | 2 | 4 | 0.79 |
| Vidot, N. | 3 | 4 | 0.45 |
| Collard, M. | 4 | 4 | 0.45 |