Excavation Equipment Recognition Based on Novel Acoustic Statistical Features

Volume: 47, Issue: 12, Pages: 4392 - 4404
Published: Dec 1, 2017
Abstract
Excavation equipment recognition attracts increasing attentions in recent years due to its significance in underground pipeline network protection and civil construction management. In this paper, a novel classification algorithm based on acoustics processing is proposed for four representative excavation equipments. New acoustic statistical features, namely, the short frame energy ratio, concentration of spectrum amplitude ratio, truncated...
Paper Details
Title
Excavation Equipment Recognition Based on Novel Acoustic Statistical Features
Published Date
Dec 1, 2017
Volume
47
Issue
12
Pages
4392 - 4404
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