Two-stage approach to automatic detection with machine learning for improved surveillance of the invasive Cuban treefrog
Huber, Kaitlin; Waddle, J. Hardin; Glorioso, Brad; Donovan, Therese
The Cuban treefrog ( Osteopilus septentrionalis ), as an invasive species in the southern United States, presents a need for effective surveillance. Automated detection expedites processing of audio data for large-scale surveillance and monitoring programs. However, current available methods commonly used for anuran species have not been sufficient to detect Cuban treefrogs. Here, we present results from a two-stage method for automated detection that employs both cross-correlation template matc