Real-time airport security checkpoint surveillance using a camera network

We introduce an airport security checkpoint surveillance system using a camera network. The system tracks the movement of each passenger and carry-on bag, continuously maintains the association between bags and passengers, and verifies that passengers leave the checkpoint with the correct bags. We present methods for calibrating the camera network and tracking the many moving objects in the environment. We define a state machine for bag tracking and association, dividing the imaged area into several semantically meaningful regions. The real-time algorithms are validated on a full-scale simulation of a security checkpoint with several runs of volunteer groups, demonstrating high performance in a challenging environment.