System and method for background modelling for a video stream

A method of background modelling for a video stream acquired by a camera having movement capabilities, the method comprising:

• acquiring a video stream comprising a sequence of image frames;
• repeatedly updating a background model for the video stream by analyzing changes in the sequence of image frames and categorizing image areas in the image frames which do not change over time as background;
• detecting camera movement, and stopping repeatedly updating the background model;
• upon detecting a camera movement stop or the camera movement going below a movement threshold, performing a reset of the background model by:
• acquiring one or more image frames;
• applying an image segmentation or object detection algorithm on the one or more image frames to identify at least foreground objects;
• and
• categorizing areas outside the identified foreground objects as background;
• and
• after having performed the reset of the background model, returning to repeatedly updating the background model for the video stream by analyzing changes in the sequence of image frames and categorizing image areas in the image frames which do not change over time as background.