The invention relates to the technical field of the geographic information and space optimization, and especially relates an urban video monitoring space optimization method based on sign-in POI. Theurban video monitoring space optimization method based on sign-in POI comprises the following steps: selecting a point with the maximum monitored probability in all units in a monitoring region as a candidate point; computing a camera field of vision at the candidate point by applying the user sign-in POI data in the monitoring region; removing a unit covered by the camera field of vision at the candidate point, and selecting the point with the maximum monitored probability in the rest units; judging whether all units in the monitoring region are completely covered; and performing the video monitoring optimization by combining with a maximum coverage optimization model. Through the optimization method disclosed by the invention, the scientificity of the video monitoring deployment is improved, the monitoring coverage overlapping rate is lowered, and the monitoring dead zone is reduced.