Surveillance of perimeters is essential, especially for critical infrastructure such as transportation hubs, power stations, chemical facilities and others. There are many approaches to perimeter surveillance but most of these require large upfront investments. Building on the Wireless Area Secure Perimeter (WASP) approach to intrusion detection and tracking system, we are conducting a computational electromagnetic modeling investigation to determine the feasibility of determining physical characteristics of traversing individuals. The WASP system consists of an array of low power, self-contained, unattended transceivers. It eliminates the need for costly power and communication infrastructures associated with today’s technologies, resulting in overall system design promises to lower cost. Unburdened by such infrastructure requirements, WASP can dramatically change how and where perimeter and border intrusion and detection will be performed. By considering the scattering from objects moving through the array of sensors, it may be possible to determine body size; whether the individual is carrying or wearing a bag; and whether an individual moving into and then back out of a region has changed, indicating picking up or dropping off an object. This investigation uses advanced electromagnetic modeling techniques with real human body geometries to establish the best set of detectable features using the WASP frequency, power level and antenna selection. Predictions on limits to target recognition will be presented, along with recommendations for system reconfiguration for improving target characterization.