17. The classification system of claim 16 , wherein said processor is further configured to combine a plurality of said non-Boolean attributes through multiplication to produce a probability of said object's classification.
16. A classification system comprising: a memory device; a processor communicatively connected to said memory device; and an imager communicatively connected to said processor, said imager configured to image a scene forward of a vehicle and communicate image data to said processor, said image data comprising at least one object that is to be classified as one of an object of interest (OOI) and a nuisance of interest (NOI) based upon at least one non-Boolean attribute of said object, and said OOI being one of a headlight of an oncoming vehicle and a taillight of a leading vehicle; wherein said at least one object that is to be classified is at least one of a headlight from an oncoming vehicle and a tail light of a leading vehicle; wherein said OOI is said at least one object to be classified and said NOI is all other detected objects; wherein said processor is configured as a Bayesian classifier to classify said object based upon said non-Boolean attribute using a non-linear probability function; wherein said processor is further configured to determine a number of times said value of said non-Boolean attribute is within a threshold range for said OOI classification; and wherein said processor is further configured to determine a number of times said value of said non-Boolean attribute is within a threshold range for said NOI classification.