In this paper, we propose a bottom-up audio attention model based on spatial audio cues and sub band energy change for unsupervised event detection in stereo audio surveillance. Firstly, the spatial audio parameter Interaural Level Difference (ILD) is extracted to calculate and represent the attention events, which are caused by rapid moving sound source. Then the sub band energy change is computed to present the salient energy distribution change in frequency domain. At last, an environment adaptive normalization is used to assess the normalized attention level. Experimental results demonstrate that the proposed audio attention model is effective for audio surveillance event detection.

Authors: Hang, Bo; Hu, Ruimin; Tu, Weiping; Wang, Xiaochen
Affiliation: Wuhan University, Wuhan, China
AES Convention: 129 (November 2010) Paper Number: 8275
Publication Date: November 4, 2010 Import into BibTeX
Subject: Spatial Sound Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15697

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