TY - GEN
T1 - Selective background adaptation based abnormal acoustic event recognition for audio surveillance
AU - Choi, Woohyun
AU - Rho, Jinsang
AU - Han, David K.
AU - Ko, Hanseok
PY - 2012
Y1 - 2012
N2 - In this paper, a method for abnormal acoustic event recognition in an audio surveillance system is presented. We propose a recognition scheme based on a hierarchical structure using a feature combination of Mel-Frequency Cepstral Coefficient (MFCC), timbre, and spectral statistics. A selective background adaptation is proposed for robust abnormal acoustic event recognition in real-world situations. For training, we use a database containing 9 abnormal events (scream, glass breaking, and etc.) and 6 background noise types collected under various surveillance situations. Gaussian Mixture Model (GMM) is considered for classifying the representative abnormal acoustic events and for selecting the background noise for adaptation. Effectiveness of the proposed method is demonstrated via representative experimental results.
AB - In this paper, a method for abnormal acoustic event recognition in an audio surveillance system is presented. We propose a recognition scheme based on a hierarchical structure using a feature combination of Mel-Frequency Cepstral Coefficient (MFCC), timbre, and spectral statistics. A selective background adaptation is proposed for robust abnormal acoustic event recognition in real-world situations. For training, we use a database containing 9 abnormal events (scream, glass breaking, and etc.) and 6 background noise types collected under various surveillance situations. Gaussian Mixture Model (GMM) is considered for classifying the representative abnormal acoustic events and for selecting the background noise for adaptation. Effectiveness of the proposed method is demonstrated via representative experimental results.
KW - Abnormal acoustic event recognition
KW - Audio surveillance
KW - Background adaptation
UR - http://www.scopus.com/inward/record.url?scp=84868230248&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868230248&partnerID=8YFLogxK
U2 - 10.1109/AVSS.2012.65
DO - 10.1109/AVSS.2012.65
M3 - Conference contribution
AN - SCOPUS:84868230248
SN - 9780769547978
T3 - Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
SP - 118
EP - 123
BT - Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
T2 - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
Y2 - 18 September 2012 through 21 September 2012
ER -