1. A method for prioritizing the adjudication of object alerts as a function of relative visual attribute values, the method comprising: in response to detecting an object that is discernible and static within an image scene of a video data input, a processing unit: generating an alert; tracking the detected object over a tracking period of time; extracting image features from the video data input over the tracking time period; learning and ranking relative strengths of each of a plurality of attributes from the extracted features, 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 learned and 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 learned and 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.