Mel Frequency Cepstrum Coefficients (MFCCs) are considered as a method of
stationary/pseudo-stationary feature extraction. They work very well for the classification of …

Fire incidents are responsible for severe damage and thousands of deaths every year all
over the world. Extreme temperatures, low visibility, toxic gases, and unknown locations of …

Anomaly detection is an integral part of a number of surveillance applications. However,
most of the existing anomaly detection models are statically trained on pre-recorded data …

Anomaly detection has been a very challenging and active area of research for decades,
particularly for video surveillance. However, most of the works detect predefined anomaly …

This paper presents a Tabu search-based method for selecting the optimal or a near-optimal
solution in semantic Web service composition. The proposed method is applied on an …

Many types of automated visual surveillance systems have been presented in the recent
literature. Most of the schemes require custom equipment, or involve significant complexity …

Many schemes have been presented over the years to develop automated visual
surveillance systems. However, these schemes typically need custom equipment, or involve …

Most security systems detect abnormal events using visual clues. However in some cases,
we can obtain more accurate and efficient data from audio information. This study analyzes …

Visual surveillance networks are installed in many sensitive places in the present world.
Human security officers are required to continuously stare at large numbers of monitors …

Sound classification is considered as one of the most important areas of classification
domain, but the least developed compared to speech and voice recognition. In this study, we …