Title :
Demonstration of bird species detection using an acoustic wireless sensor network
Author_Institution :
Autonomous Syst. Lab., CSIRO ICT Centre, Brisbane, QLD
Abstract :
A wireless sensor network application for detection of bird calls is described. The detection algorithm is based on a likelihood ratio test between statistical models of the target and non-target audio frames. The algorithm has been implemented on CSIROpsilas wireless sensor network platform, using a DSP coprocessor board on each node for signal processing and detection. Results are presented for detection of the logrunner bird species.
Keywords :
acoustic signal detection; acoustic signal processing; wireless sensor networks; DSP coprocessor; acoustic wireless sensor network; bird species detection; likelihood ratio test; logrunner; signal detection; signal processing; statistical models; Acoustic signal detection; Audio recording; Australia; Birds; Computational efficiency; Distributed computing; Feature extraction; Filter bank; Signal processing algorithms; Wireless sensor networks;
Conference_Titel :
Local Computer Networks, 2008. LCN 2008. 33rd IEEE Conference on
Conference_Location :
Montreal, Que
Print_ISBN :
978-1-4244-2412-2
Electronic_ISBN :
978-1-4244-2413-9
DOI :
10.1109/LCN.2008.4664273
