Method for detecting video stop event based on self-adapting double-background model

The invention discloses a method for detecting a video stop event based on a self-adapting double-background model, which belongs to the field of the automatic detection and tracking of the video target of an intelligent type image monitoring technology (IVS). A self-adapting long/short-effect double-background model is designed and constructed, a quick target detection and tracking method is designed, the automatic stop detection of a stop event is realized by the long-effect tracking of a static/moving target, and an alarm is sent out at real time so as to overcome the defect of the prior art. The method comprises the following steps of: (1) initializing the long/short-effect double-background model; (2) carrying out BLOB target detection, stop target detection, ghost target detection and long/short-effect double-background update; (3) carrying out the quick BLOB target tracking of a heuristic method; (4) detecting the stop event and outputting the alarm; and (5) updating the selectivity of the long/short-e