Patent ID: 8761517

Claim:
A method for automated analysis of video data for determination of human behavior, the method comprising: segmenting a video stream of images into a plurality of discrete individual frame image primitives; combining a plurality of the primitives that each have motion pixels associated with movement within different regions of interest and are sequential and closest in time to each other into a visual event; determining a normalized visual quality value for an average of feature vectors over an adjacent pair of the visual event primitives as a function of a Gaussian mixture model, wherein the normalized visual quality value is one or zero; setting a binary indicator variable for the visual event to true if the determined normalized visual quality value is one, and to false if the determined normalized visual quality value is zero; processing the visual event as a function of the set binary indicator variable and of non-video transaction data associated with the video stream by: associating the visual event with a logged transaction of the non-video transaction data if the visual event is aligned with the logged transaction within a Gaussian transformed temporal distance constraint; issuing an alert if the binary indicator variable is true and the visual event does not align with a logged transaction of the non-video transaction data within the Gaussian transformed temporal distance constraint; and dropping the visual event if the binary indicator variable is false and the visual event does not align with a logged transaction of the non-video transaction data within the Gaussian transformed temporal distance constraint.