Moving Vehicle Registration and Super-Resolution

We describe a method for registering and superresolving moving vehicles from aerial surveillance video. The challenge of vehicle super-resolution lies in the fact that vehicles may be very small and thus frame-to-frame registration does not offer enough constraints to yield registration with sub-pixel accuracy. To overcome this, we first register the large-scale image backgrounds and then, relative to the background registration, register the small-scale moving vehicle over all frames simultaneously using a vehicle motion model. To solve for the vehicle motion parameters we optimize a cost function that incorporates both vehicle appearance and background appearance consistency. Once this process accurately registers a moving vehicle, it is super-resolved. We apply both a frequency domain and a spatial domain approach. The frequency domain approach can be used when the final registered vehicle motion is well approximated by shifts in the image plane. The robust regularized spatial do...

• Type: Conference
• Year: 2007
• Where: AIPR
• Authors: Frederick W. Wheeler, Anthony J. Hoogs
• Keywords: AIPR 2007, Spatial Domain Approach, Vehicle, Vehicle Motion