Autonomous Video Registration Using Sensor Model Parameter Adjustments

Recently, airborne video surveillance platforms have gained greater acceptance for use in a variety of DoD missions due to their utility, affordability and autonomy. While a variety of airborne collectors and unmanned aerial vehicles may be equipped for video surveillance to support diverse mission needs, ground processing systems cannot handle this high data rate medium without some degree of autonomous processing to simplify and extend the exploitation process for video imagery. In this paper, we outline a novel approach for nearreal-time video registration based on sensor model parameter adjustments and the application of a Kalman filter. The goal of our Precision Video Registration (PVR) development is to register video with a reference image to provide accurate 3-D geolocations. Our sensor-based 3-D treatment is unique since most registration approaches employ only simple image-to-image mappings, such as affine transformations. In our approach, we explicitly model the projections...

• Type: Conference
• Year: 2000
• Where: AIPR
• Authors: Richard W. Cannata, Steven G. Blask, John A. Van Workum, Mubarak Shah
• Keywords: AIPR 2000, Pattern Recognition, Video, Video Registration, Video Surveillance