Abstract:
The surveillance system at important
public places in a noisy environment deals with
audio events detection is essential and useful
application. At surveillance systems aiming to
detect abnormal situations based on visual clues
while, in some situations, it may be easier to
detect and classify events using the audio
information. Audio events classification for
threatening environment through Genetic
Regulatory Network (GRN) is considered. GRN
is adopted as classification framework and
greatly reduced input dimensions. Thus using the
results from GRN framework as inputs for
Support Vector Machine (SVM) can correctly
classify audio events such as gunshot and
explosion with low computational time and
complexity. Selecting GRN in event detection
system can not only reduces cost and effort but
also aims to obtain high performance and
accuracy in varying nature of environments
