1. A method for dynamically learning a set of attributes of an operator of a point of sale (POS) comprising: receiving sensor data of a set of moving objects captured within a scan area at a POS; extracting a set of attributes from each of the set of moving objects; updating an appearance model with the set of attributes from each of the set of moving objects; and analyzing the appearance model to identify at least one of the set of moving objects as an operator of the POS.