In this work we address the problem of detecting human activities in natural environments based solely on the respective acoustic emissions. The primary goal is the continuous acoustic surveillance of a particular natural scene for illegal human activities (trespassing, hunting etc.) in order to promptly alert an authorized officer for taking the appropriate measures. We constructed a novel system which is mainly characterized by its hierarchical structure as well as the variety of the acoustic parameters. Each sound class is represented by a hidden Markov model created using descriptors from the time, frequency and wavelet domains. We conducted extensive experiments for assessing the performance of the system with respect to its recognition and detection capabilities.
Detection of human activities in natural environments based on their acoustic emissions / S. Ntalampiras, I. Potamitis (EUROPEAN SIGNAL PROCESSING CONFERENCE). - In: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)[s.l] : IEEE, 2012. - ISBN 9781467310680. - pp. 1469-1473 (( Intervento presentato al 20. convegno EUSIPCO tenutosi a Bucharest nel 2012.
Detection of human activities in natural environments based on their acoustic emissions
S. Ntalampiras;
2012
Abstract
In this work we address the problem of detecting human activities in natural environments based solely on the respective acoustic emissions. The primary goal is the continuous acoustic surveillance of a particular natural scene for illegal human activities (trespassing, hunting etc.) in order to promptly alert an authorized officer for taking the appropriate measures. We constructed a novel system which is mainly characterized by its hierarchical structure as well as the variety of the acoustic parameters. Each sound class is represented by a hidden Markov model created using descriptors from the time, frequency and wavelet domains. We conducted extensive experiments for assessing the performance of the system with respect to its recognition and detection capabilities.File | Dimensione | Formato | |
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