1. A computer-implemented method for prioritizing the adjudication of object alerts as a function of relative visual attribute values, the method comprising executing on a computer processing unit the steps of: ranking relative strengths of each of a plurality of attributes of image features of an object that is static within an image scene of a video data input, wherein the image features are extracted from the video data input over a tracking time period, and wherein the plurality of attributes comprises a foregroundness attribute and a staticness attribute; identifying the detected object as one of a bag object, a people object and a visual artifact, as a function of the ranked relative strengths of the plurality of extracted feature attributes, wherein the bag object, the people object and the visual artifact are each associated with different combinations of values of the ranked relative strengths of the plurality of extracted feature attributes; and prioritizing the alert relative to other alerts by ranking alerts generated from detected bag objects over alerts generated from detected people objects, and alerts generated from detected people object over alerts generated from detected visual artifacts.