A Forest of Sensors: Tracking Chris Stauffer stauffer@ai.mit.edu AN OVERVIEW Tracking Over Extended Periods Our video surveillance and monitoring efforts center around our ability to track multiple objects continuously in multiple,outdoor scenes in real-time. The process involves maintaining an adaptive background model, comparing the current image to the background model, determining the regions of the image which do not match the background, and tracking those regions over time. The tracking algorithm has run continuously on multiple systems. All tracking information is archived for the most recent two weeks. Video Frames Adaptive Background Model Pixel Consistent with Background Model? X,Y,Size,Dx,Dy X,Y,Size,Dx,Dy Image Template X,Y,Size,Dx,Dy Image Template Extract Moving Regions Multiple Hypothesis Tracking Tracking in Multiple Camera Simultaneously Each individual tracking system is run independently, but we require multiple cameras to create an extended scene. This will allow our system to be used to monitor an entire airport, a military facility, an amusement park, or any other area where cameras are needed to guarantee security or safety. We are currently using four cameras: 545 Technology Square N W E S