Abnormal behavior identification monitoring method based on incremental space-time learning

The invention provides an abnormal behavior identification monitoring method based on incremental space-time learning. The method comprises the following steps: establishing a space-time model; collecting a first video monitoring picture of the monitor in a first preset time period, inputting the first video monitoring picture into the space-time model, and training the space-time model; positioning a second video monitoring picture with an abnormal behavior in a second preset time period of the monitor through the trained space-time model; and sending the information to manual verification. If the abnormal behavior passes manual verification, marking the abnormal behavior as normal, and constructing the abnormal behavior in the second video monitoring picture into a second normal behavior through a fuzzy aggregation method; and inputting the second normal behavior into the space-time model, training the space-time model again, and repeating the above steps. According to the method, the normal behaviors are d