1. A method for calibrating a classification system, wherein one or more objects in at least one video are classified, the method comprising: obtaining at least one view associated with the at least one video; partitioning the at least one view into at least one region, such that a given object is classified in accordance with its location in reference to the at least one region; and when the at least one region is initially specified as corresponding to a first type of object, automatically decreasing a classification probability associated with the given object being the first type of object when at least one other object is classified in the at least one region as being a second type of object, and automatically increasing a classification probability associated with the given object being the second type of object for the at least one region.