TY - GEN
T1 - Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance
AU - Shon, Suwon
AU - Han, David K.
AU - Ko, Hanseok
PY - 2013
Y1 - 2013
N2 - In this paper, a method for source localization for surveillance system is presented. In particular, we propose an algorithm for abnormal acoustic event localization based on a novel approach of relevant frequency bin selections by statistical analyses. By means of selective frequency bin, it becomes possible to localize the event more accurately in high noise environment with low computational complexity. The effectiveness is verified through the experimental results in varied noise environments with different levels of Signal to Noise Ratio (SNR).
AB - In this paper, a method for source localization for surveillance system is presented. In particular, we propose an algorithm for abnormal acoustic event localization based on a novel approach of relevant frequency bin selections by statistical analyses. By means of selective frequency bin, it becomes possible to localize the event more accurately in high noise environment with low computational complexity. The effectiveness is verified through the experimental results in varied noise environments with different levels of Signal to Noise Ratio (SNR).
UR - http://www.scopus.com/inward/record.url?scp=84890874123&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890874123&partnerID=8YFLogxK
U2 - 10.1109/AVSS.2013.6636621
DO - 10.1109/AVSS.2013.6636621
M3 - Conference contribution
AN - SCOPUS:84890874123
SN - 9781479907038
T3 - 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013
SP - 87
EP - 92
BT - 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013
PB - IEEE Computer Society
T2 - 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013
Y2 - 27 August 2013 through 30 August 2013
ER -