  Most of the surveillance systems for public safety are solely based on one or
more video cameras. These camera systems have some drawbacks such that they
have poor performance in adverse weather conditions or during night time.
Therefore most of the time, some other sensors should accompany to video
cameras. Although audio surveillance is in its early stage, there has been
considerable amount of work in this area in the last decade. In this paper we
make a review of impulsive sound detection algorithms. Sounds from dangerous
events such as gunshots, explosions, human screaming can be classified as
impulsive sounds, so this paper reviews all impulsive sound detection
algorithms along with impulsive noise detection algorithms although they
progress in their own path. These dangerous sound events have no other
detection means except audio. We try to adapt some algorithms used in impulsive
noise detection to the area of impulsive sound detection. Tests show that
Warped Linear Prediction (WLP) can be used for impulsive sound detection.
