Patent ID: 8478048
Filing Date: 2013-07-02
Classification: G06K,G08B

Abstract:
1. A method for automated analysis of video data for determination of human behavior, the method comprising: a programmable device segmenting a video stream of images of a cashier in a retail scanning lane into a plurality of discrete individual frame image primitives comprising: combining a set of one each of the pick-up, scan and drop primitives that are sequential and closest in time to each other into a visual event, wherein the visual event pick-up primitive is prior in time to the visual event scan primitive, and the visual event scan primitive is prior in time to the visual event drop primitive; determining a normalized visual quality value of one or zero for an average of feature vectors over an adjacent pair of the visual event primitives as a function of a Gaussian mixture model; setting a binary fake scan indicator variable for the visual event to true if the determined normalized visual quality value is one, or to false if the determined normalized visual quality value is zero; and processing the visual event as a function of the set binary fake scan indicator variable and of non-video retail transaction log data associated with the video stream that lists items scanned in the scanning lane, by: