Normal vs. Abnormal Behavior

Abstract

The term outlier refers to data that deviates significantly from what is considered normal. Outliers are often of interest since they may indicate that data was generated by a mechanism other than the expected one [23], or may indicate abnormal or suspicious behavior. The modeling and analysis of normal vs. abnormal behavior proves useful in security-related areas such as biometrics, video surveillance and intrusion-detection, as well as in other areas such as medical imaging, among others.