MULTI-CUE OBJECT DETECTION AND ANALYSIS

摘要

Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations.

主权项

1. A computer-implemented method for distinguishing foreground objects of interest from a background model, the method comprising executing on a processing unit the steps of:
acquiring frame image data for each of a plurality of individual cells in a grid array that defines a region of interest of a video data image; for each of the cells, determining a first foreground value as true in response to determining that a color intensity of the acquired frame image data for the cell of one color is greater than a color intensity of the acquired frame image data of another color by a color intensity differential threshold; for each of the cells, determining a second foreground value as true in response to an accumulated energy of edges detected within the acquired frame image data for the cell meeting an edge energy threshold; labelling each of the cells as foreground in response to a true value output of a combination rule applied to the first foreground values and the second foreground values of the cells, wherein the combination rule is selected from the group consisting of a logical AND operation, a logical OR operation and a differentially weighted comparison operation; and using the frame image data from the cells labeled as foreground to define a foreground object.