Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41375
Title: Audio based event detection for multimedia surveillance
Authors: Atrey, P.K.
Maddage, N.C.
Kankanhalli, M.S. 
Issue Date: 2006
Source: Atrey, P.K.,Maddage, N.C.,Kankanhalli, M.S. (2006). Audio based event detection for multimedia surveillance. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 5 : V813-V816. ScholarBank@NUS Repository.
Abstract: With the increasing use of audio sensors in surveillance and monitoring applications, event detection using audio streams has emerged as an important research problem. This paper presents a hierarchical approach for audio based event detection for surveillance. The proposed approach first classifies a given audio frame into vocal and nonvocal events, and then performs further classification into normal and excited events. We model the events using a Gaussian Mixture Model and optimize the parameters for four different audio features ZCR, LPC, LPCC and LFCC. Experiments have been performed to evaluate the effectiveness of the features for detecting various normal and the excited state human activities. The results show that the proposed top-down event detection approach works significantly better than the single level approach. © 2006 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41375
ISBN: 142440469X
ISSN: 15206149
Appears in Collections:Staff Publications

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