Money in the e-commerce network, represents information moving at the speed of light, where fraud (digital crime) within the banking and financial services happened very fast and can cost billions of dollars each year-undetected and unreported. In this paper I present a comprehensive framework that mines and detect fraudulent transactions of Card-NotPresent (CNP) in the e-payment systems with a...

We propose a generic online multi-target track-before-detect (MT-TBD) that is applicable on confidence maps used as observations. The proposed tracker is based on particle filtering and automatically initializes tracks. The main novelty is the inclusion of the target ID into the particle state, enabling the algorithm to deal with unknown and large number of targets. To overcome the problem of m...

The 3D matched lter proposed by Reed et al. and its generalizations (e.g. banks of assumed velocity lters (BAVF)) provide a powerful processing technique for detecting moving low observable targets. This technique is a centerpiece of various track-before-detect (TBD) systems. However, the 3D matched lter was designed for constant velocity targets and its applicability to more complicated patter...

Amongst older adults, falls at home can be deadly. Fall detection systems are an important tool to quickly summon help in the event of a fall. Wearable devices such as help buttons have been a popular approach to the problem; however, studies show that they have a low efficacy in the event of a fall because they require the user to actively remember to use the device. In response to this issue,...

Dual-band Infrared-based passive Missile Warning Sensors (MWS) are under development at USAF Wright Laboratory and other DoD labs to provide aircraft with cost-effective robust detection and tracking of Infrared Surface-to-Air Missile threats out to their maximum launch ranges. Typically, such sensors are limited by the presence of heavy background clutter, solar glints, and sensor noise which ...