Surveillance video is everywhere these days, and researchers are working on making it smarter and smarter. The latest advance is in the problem of constructing -- or "hallucinating" in machine learning ML parlance -- a complete image of a person from a partial or occluded photo. Occlusion occurs when the object, or body, you want to see is partially covered by an intervening object or body. In a crowded public area, say Times Square in New York, surveillance cameras would rarely get an unobstructed view of a person of interest. What is artificial general intelligence? That's where the paper Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect? by researchers from the University of Modena comes in.