TY - GEN
T1 - Acoustic signal based abnormal event detection system with multiclass adaboost
AU - Lee, Younghyun
AU - Ko, Hanseok
AU - Han, David K.
PY - 2013
Y1 - 2013
N2 - This paper addresses the problem of abnormal acoustic event detection in indoor security systems. We propose a multiclass Adaboost based acoustic context classifier for performance and speed improvements over the conventional and prominent GMM based classifiers.
AB - This paper addresses the problem of abnormal acoustic event detection in indoor security systems. We propose a multiclass Adaboost based acoustic context classifier for performance and speed improvements over the conventional and prominent GMM based classifiers.
UR - http://www.scopus.com/inward/record.url?scp=84876355699&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876355699&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2013.6486911
DO - 10.1109/ICCE.2013.6486911
M3 - Conference contribution
AN - SCOPUS:84876355699
SN - 9781467313612
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 322
EP - 323
BT - 2013 IEEE International Conference on Consumer Electronics, ICCE 2013
T2 - 2013 IEEE International Conference on Consumer Electronics, ICCE 2013
Y2 - 11 January 2013 through 14 January 2013
ER -