Abstract: A computer implemented method of anonymising video surveillance data of a scene and detecting an object or event of interest in such anonymised video surveillance data, the method comprising segmenting frames of video surveillance data of at least one scene into corresponding frames of segmented data using image segmentation, wherein a mask label is assigned to every pixel of each frame of the segmented data based either on a class of objects or of surfaces or on an instance of such a class that pixel belongs to, and detecting at least one object and/or event of interest based on at least one shape and/or motion in at least one frame of the segmented data.