The invention provides a method of detecting critical objects out of video produced in CCTV cameras. More specifically, the invention provides a method of detecting critical objects out of CCTV video, in which lightweight algorithms of foreground segmentation and blob analysis are applied to the CCTV video in order to detect moving objects and then object filtering is performed based on distribution characteristics of metadata in order to propose critical objects contained in the CCTV video, whereby a few staff members in the integrated control center may efficiently monitor display screen of a large number of CCTV cameras. The invention makes it possible to detect critical objects out of CCTV video with utilizing lightweight algorithms, which enables real-time processing by video analysis servers of normal computing power. Therefore, the efficiency of integrated control centers may be improved where massive CCTV videos are gathered from a large number of CCTV cameras.