Abstract: A computer-based system and method for classifying users of a database including obtaining an activity rate time series describing activity level of a database user versus time, extracting features from the activity rate time series, the features including a measure of repetition in the activity level, mean activity load and a percentage of the time in which the user is active, and determining a type of the database user based on the extracted at least one feature. The measure of repetition in the user activity is calculated by performing a Fourier transform on the activity rate time series to produce a transformed series; detecting spikes in the transformed series; and measuring a percentage of information in the transformed series which is included in the spikes.

Abstract: A system for face recognition includes a mobile camera that is configured to be carried in a concealed manner by a user. A processor is in communication with the camera and is configured to apply face recognition to an image that is obtained from the camera. The processor is further configured to determine if a notification is to be issued and to issue a notification to a notification device.

Abstract: A surveillance method includes incorporating competitive sensor fusion with complementary sensor fusion in detection of events by a plurality of sensor networks.