This paper presents a fast algorithm to locate and remove overlaid video timestamps for panorama video surveillance. The timestamp removal for panorama video surveillance is a challenge research problem because it allows a very short processing time and it requires to recovery the covered objects. And the existing general object localization methods cannot localize the timestamp reliably and the existing object removal methods cannot remove timestamps with high visual scene consistence. For the timestamp localization, this paper customizes the ...
