Audio based solutions for detecting intruders in wild areas

Authors:
Marius Vasile Ghiurcau;Corneliu Rusu;Radu Ciprian Bilcu;Jaakko Astola
Affiliations:
Technical University of Cluj-Napoca, Faculty of Electronics, Telecommunications and Information Technology, Signal Processing Group, Str. Baritiu 26-28, RO-400027, Cluj-Napoca, Romania;Technical University of Cluj-Napoca, Faculty of Electronics, Telecommunications and Information Technology, Signal Processing Group, Str. Baritiu 26-28, RO-400027, Cluj-Napoca, Romania;Nokia Research Center, Multimodal Sensing and Context, Visiokatu 1, 33720, Tampere, Finland;Tampere International Center for Signal Processing, Tampere University of Technology, P.O. Box 553 FI-33101, Tampere, Finland
Venue:
Signal Processing
Year:
2012

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Abstract

This paper presents an overview of the work that has been done in the field of wildlife intruder detection using only acoustic sensors. The motivation of such an application is related to protection of large wildlife regions, such as forests, lakes, and other natural reservations. The sounds of interest are represented by humans, engines, birds and animals. In order to simulate various environmental situations, different types of noisy environments have been considered. Both low complexity and standard audio classification methods are presented. Standard audio classification methods prove to be more robust, but at an expense of significantly increased complexity. Since low complexity systems are more feasible for monitoring remote areas, the complexity issue is discussed and solutions are proposed.