Abstract: Image processing of an image is used to determine the opportunity to view an object. Rather than relying on simple numbers passing an object, the opportunity to view the object is weighted based on attention, which is derived from other objects competing for attention. For the processor to more accurately determine opportunity to view as compared to using geometric information alone, a machine-learned network is used. To deal with changes in obstructions, another machine-learned network may extract obstructions from camera images. Trace data is used to allow for daily variation in base counts of viewers, allowing greater temporal resolution and determination based on information more recently acquired than counts.