1. A predictive surveillance system for monitoring a space comprising: a metadata processing module that generates trajectory metadata corresponding to a trajectory of a monitored object including timestamps corresponding to times the monitored object was at locations of the trajectory; a transformation module that receives the trajectory metadata and generates a feature vector having elements that represent motion attributes relating to preselected segments of the trajectory of the monitored object; a predictive behavior assessment module that receives said feature vector corresponding to the monitored object and that retrieves a prediction model corresponding to the predefined target area from a prediction model database, wherein a prediction model defines an association between an incoming trajectory for a previously monitored object and an outgoing trajectory of the previously monitored object, wherein the incoming and outgoing trajectories are represented as feature vectors, and wherein the prediction model is retrieved based on a similarity between the feature vector of the monitored object and the feature vector representing the incoming trajectory and the association between the incoming and outgoing trajectories; and an inverse transformation module that generates a predicted trajectory based on the feature vector of the outgoing trajectory and the preselected segments of the trajectory of the previously monitored object.