{"title":"Long-term monitoring of cane-toads using acoustic sensors: poster abstract","authors":"Jie Xie, Jinglan Zhang, M. Towsey, P. Roe","doi":"10.1145/3055031.3055056","DOIUrl":null,"url":null,"abstract":"Cane-toads (Bufo marinus) are introduced to Australia to negate the insect pests. However, cane-toad population is out of control, and has highly affected native frog species for its great reproductive capacity. Therefore, it is necessary to monitor cane-toads and control their population. Recent advances in acoustic sensors make it possible to monitor cane-toads over long periods. In this paper, we present a novel approach to analyze cane-toad calls for long-term monitoring. Specifically, recorded acoustic data is first transformed into spectrogram using short-time Fourier transform. Then, cane-toad calls are recognized with an oscillation detector. Next, recognized cane-toad calls are annotated for further analysis. Initial analysis of our method demonstrates promising results, with 71.36% true positive rate. With the oscillation detector, cane-toad calling activity is investigated over the whole year.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055031.3055056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cane-toads (Bufo marinus) are introduced to Australia to negate the insect pests. However, cane-toad population is out of control, and has highly affected native frog species for its great reproductive capacity. Therefore, it is necessary to monitor cane-toads and control their population. Recent advances in acoustic sensors make it possible to monitor cane-toads over long periods. In this paper, we present a novel approach to analyze cane-toad calls for long-term monitoring. Specifically, recorded acoustic data is first transformed into spectrogram using short-time Fourier transform. Then, cane-toad calls are recognized with an oscillation detector. Next, recognized cane-toad calls are annotated for further analysis. Initial analysis of our method demonstrates promising results, with 71.36% true positive rate. With the oscillation detector, cane-toad calling activity is investigated over the whole year.