I watched this lecture recently http://youtu.be/-IUe3ce_29I http://youtu.be/-IUe3ce_29I which talked about how hard it is to do image recognition at low resolut

I watched this lecture recently http://youtu.be/-IUe3ce_29I http://youtu.be/-IUe3ce_29I which talked about how hard it is to do image recognition at low resolution. One solution is a "fovea" system that scans an area for interesting items and zooms in on them with a high resolution camera automatically to get better recognition. I wonder if this would help in similar instances. A system that uses facial detection to isolate faces and then zoom in on them very quickly seems feasible. I'm assuming it would be overwhelmed in a scenario like a marathon of course, but perhaps it would help in other situations.